| A Transformer-based Framework for Multivariate Time Series Representation Learning |
George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff |
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code |
100 |
| Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning |
Xiao Wang, Nian Liu, Hui Han, Chuan Shi |
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code |
63 |
| MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification |
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb |
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code |
52 |
| Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding |
Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei |
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code |
36 |
| Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System |
Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He |
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code |
34 |
| Socially-Aware Self-Supervised Tri-Training for Recommendation |
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung |
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code |
31 |
| Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting |
Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie |
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code |
31 |
| Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems |
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang |
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code |
30 |
| MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems |
Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang |
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code |
30 |
| Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting |
Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong |
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code |
28 |
| Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity |
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong |
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code |
27 |
| Relational Message Passing for Knowledge Graph Completion |
Hongwei Wang, Hongyu Ren, Jure Leskovec |
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code |
26 |
| Deconfounded Recommendation for Alleviating Bias Amplification |
Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, TatSeng Chua |
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code |
24 |
| Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data |
Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao |
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code |
22 |
| Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space |
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King |
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code |
21 |
| Curriculum Meta-Learning for Next POI Recommendation |
Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu |
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code |
21 |
| An Embedding Learning Framework for Numerical Features in CTR Prediction |
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He |
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code |
19 |
| PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network |
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He |
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code |
19 |
| A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks |
Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang |
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code |
19 |
| ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting |
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang |
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code |
19 |
| Tail-GNN: Tail-Node Graph Neural Networks |
Zemin Liu, TrungKien Nguyen, Yuan Fang |
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code |
19 |
| FLOP: Federated Learning on Medical Datasets using Partial Networks |
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin |
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code |
19 |
| Dual Graph enhanced Embedding Neural Network for CTR Prediction |
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He |
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code |
18 |
| TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data |
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang |
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code |
18 |
| Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization |
Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki |
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code |
17 |
| Learning Elastic Embeddings for Customizing On-Device Recommenders |
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang |
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code |
16 |
| Individual Fairness for Graph Neural Networks: A Ranking based Approach |
Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li |
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code |
16 |
| Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection |
Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang |
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code |
16 |
| Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling |
Chuizheng Meng, Sirisha Rambhatla, Yan Liu |
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code |
16 |
| Learning Process-consistent Knowledge Tracing |
Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang |
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code |
16 |
| Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts |
Jaemin Yoo, Yejun Soun, Yongchan Park, U Kang |
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code |
16 |
| Auto-Split: A General Framework of Collaborative Edge-Cloud AI |
Amin BanitalebiDehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang |
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code |
15 |
| Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours |
Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu |
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code |
15 |
| Learning How to Propagate Messages in Graph Neural Networks |
Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang |
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code |
15 |
| SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations |
Chenyi Lei, Yong Liu, Lingzi Zhang, Guoxin Wang, Haihong Tang, Houqiang Li, Chunyan Miao |
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code |
14 |
| HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps |
Jizhou Huang, Haifeng Wang, Yibo Sun, Miao Fan, Zhengjie Huang, Chunyuan Yuan, Yawen Li |
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code |
14 |
| AutoLoss: Automated Loss Function Search in Recommendations |
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang |
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code |
14 |
| Pre-trained Language Model based Ranking in Baidu Search |
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin |
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code |
14 |
| Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation |
Jiawei Zheng, Qianli Ma, Hao Gu, Zhenjing Zheng |
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code |
14 |
| Adversarial Feature Translation for Multi-domain Recommendation |
Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin |
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code |
14 |
| How Interpretable and Trustworthy are GAMs? |
ChunHao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana |
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code |
14 |
| Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks |
Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
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code |
14 |
| OpenBox: A Generalized Black-box Optimization Service |
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui |
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code |
14 |
| Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction |
Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin |
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code |
13 |
| Where are we in embedding spaces? |
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu |
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code |
13 |
| SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps |
Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang |
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code |
13 |
| MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning |
Huimin Ren, Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, Yu Zheng |
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code |
12 |
| NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs |
Enyan Dai, Charu Aggarwal, Suhang Wang |
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code |
12 |
| What Do You See?: Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors |
YiShan Lin, WenChuan Lee, Z. Berkay Celik |
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code |
12 |
| S-LIME: Stabilized-LIME for Model Explanation |
Zhengze Zhou, Giles Hooker, Fei Wang |
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code |
12 |
| Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering |
Cheng Feng, Pengwei Tian |
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code |
12 |
| Deep Learning Embeddings for Data Series Similarity Search |
Qitong Wang, Themis Palpanas |
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code |
11 |
| AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba |
Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen |
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code |
11 |
| Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning |
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie |
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code |
11 |
| Causal Understanding of Fake News Dissemination on Social Media |
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu |
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code |
11 |
| Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion |
Jaehun Jung, Jinhong Jung, U Kang |
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code |
11 |
| TUTA: Tree-based Transformers for Generally Structured Table Pre-training |
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang |
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code |
11 |
| Fed2: Feature-Aligned Federated Learning |
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen |
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code |
11 |
| Embedding-based Product Retrieval in Taobao Search |
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, XiaoMing Wu, Qianli Ma |
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code |
10 |
| Topology Distillation for Recommender System |
SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
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code |
10 |
| FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters |
Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso |
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code |
10 |
| Attentive Heterogeneous Graph Embedding for Job Mobility Prediction |
Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong |
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code |
10 |
| Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps |
Miao Fan, Yibo Sun, Jizhou Huang, Haifeng Wang, Ying Li |
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code |
10 |
| FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data |
XinChun Li, DeChuan Zhan |
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code |
10 |
| MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph |
Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou |
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code |
10 |
| Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference |
Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li |
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code |
10 |
| Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook |
Yiqun Liu, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, Fedor Borisyuk |
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code |
9 |
| A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps |
Léa Briand, Guillaume SalhaGalvan, Walid Bendada, Mathieu Morlon, VietAnh Tran |
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code |
9 |
| DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks |
Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang |
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code |
9 |
| Learning to Recommend Visualizations from Data |
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan |
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code |
9 |
| Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism |
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney |
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code |
9 |
| A Unified Solution to Constrained Bidding in Online Display Advertising |
Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu |
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code |
9 |
| ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification |
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
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code |
9 |
| Predicting COVID-19 Spread from Large-Scale Mobility Data |
Amray Schwabe, Joel Persson, Stefan Feuerriegel |
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code |
9 |
| Data Quality for Machine Learning Tasks |
Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala |
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code |
9 |
| Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport |
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian |
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code |
9 |
| Graph Adversarial Attack via Rewiring |
Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang |
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code |
9 |
| DeGNN: Improving Graph Neural Networks with Graph Decomposition |
Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang |
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code |
9 |
| Meta Self-training for Few-shot Neural Sequence Labeling |
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah |
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code |
9 |
| Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising |
Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen |
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code |
8 |
| Learning to Embed Categorical Features without Embedding Tables for Recommendation |
WangCheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi |
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code |
8 |
| Pre-trained Language Model for Web-scale Retrieval in Baidu Search |
Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin |
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code |
8 |
| Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints |
David GarcíaSoriano, Francesco Bonchi |
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code |
8 |
| A Broader Picture of Random-walk Based Graph Embedding |
Zexi Huang, Arlei Silva, Ambuj K. Singh |
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code |
8 |
| Preference Amplification in Recommender Systems |
Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg |
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code |
8 |
| ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks |
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin |
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code |
8 |
| Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes |
Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter |
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code |
8 |
| Approximate Graph Propagation |
Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, JiRong Wen |
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code |
8 |
| Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment |
Hao Xiong, Junchi Yan, Li Pan |
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code |
8 |
| Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data |
Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao |
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code |
8 |
| ROD: Reception-aware Online Distillation for Sparse Graphs |
Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui |
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code |
8 |
| Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification |
Hao Xue, Flora D. Salim |
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code |
8 |
| Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling |
Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec |
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code |
8 |
| An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions |
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores |
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code |
8 |
| Neural-Answering Logical Queries on Knowledge Graphs |
Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong |
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code |
8 |
| Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns |
Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma |
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code |
8 |
| Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations |
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane ClelandHuang, Meng Jiang |
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code |
8 |
| Balancing Consistency and Disparity in Network Alignment |
Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo |
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code |
8 |
| All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting |
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe |
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code |
8 |
| Multimodal Emergent Fake News Detection via Meta Neural Process Networks |
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao |
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code |
8 |
| Extreme Multi-label Learning for Semantic Matching in Product Search |
WeiCheng Chang, Daniel L. Jiang, HsiangFu Yu, ChoonHui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon |
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code |
7 |
| FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data |
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
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code |
7 |
| NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search |
Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, TieYan Liu |
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code |
7 |
| Table2Charts: Recommending Charts by Learning Shared Table Representations |
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang |
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code |
7 |
| Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework |
Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng |
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code |
7 |
| Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising |
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu |
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code |
7 |
| Pre-training on Large-Scale Heterogeneous Graph |
Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang |
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code |
7 |
| When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control |
Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong |
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code |
7 |
| A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem |
Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He |
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code |
7 |
| Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning |
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao |
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code |
7 |
| Leveraging Latent Features for Local Explanations |
Ronny Luss, PinYu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, ChunChen Tu |
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code |
7 |
| Scalable Hierarchical Agglomerative Clustering |
Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
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code |
7 |
| Filtration Curves for Graph Representation |
Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt |
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code |
7 |
| Robust Learning by Self-Transition for Handling Noisy Labels |
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, JaeGil Lee |
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code |
7 |
| Analysis and Applications of Class-wise Robustness in Adversarial Training |
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang |
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code |
7 |
| TDGIA: Effective Injection Attacks on Graph Neural Networks |
Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang |
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code |
7 |
| TimeSHAP: Explaining Recurrent Models through Sequence Perturbations |
João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro |
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code |
7 |
| Adversarial Attacks on Deep Models for Financial Transaction Records |
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo RiveraCastro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev |
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code |
7 |
| Bipartite Dynamic Representations for Abuse Detection |
Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
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code |
7 |
| MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling |
Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato |
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code |
6 |
| Popularity Bias in Dynamic Recommendation |
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee |
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code |
6 |
| Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control |
Runzhe Wan, Xinyu Zhang, Rui Song |
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code |
6 |
| Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning |
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
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code |
6 |
| Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems |
Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen |
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code |
6 |
| Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising |
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao |
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code |
6 |
| Federated Adversarial Debiasing for Fair and Transferable Representations |
Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou |
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code |
6 |
| Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning |
Huiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng |
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code |
6 |
| A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples |
Hong Yu, Jia Tang, Guoyin Wang, Xinbo Gao |
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code |
6 |
| JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu |
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong |
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code |
6 |
| Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing |
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang |
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code |
6 |
| Adaptive Transfer Learning on Graph Neural Networks |
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai |
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code |
6 |
| Scaling Up Graph Neural Networks Via Graph Coarsening |
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou |
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code |
6 |
| DisenQNet: Disentangled Representation Learning for Educational Questions |
Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong |
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code |
6 |
| TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction |
Bo Hui, Da Yan, Haiquan Chen, WeiShinn Ku |
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code |
6 |
| An Efficient Framework for Balancing Submodularity and Cost |
Sofia Maria Nikolakaki, Alina Ene, Evimaria Terzi |
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code |
6 |
| Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent |
Depeng Xu, Wei Du, Xintao Wu |
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code |
6 |
| An Experimental Study of Quantitative Evaluations on Saliency Methods |
XiaoHui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen |
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code |
6 |
| Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection |
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang |
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code |
6 |
| AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization |
Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
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code |
6 |
| New Frontiers of Multi-Network Mining: Recent Developments and Future Trend |
Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong |
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code |
6 |
| PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models |
Bing He, Mustaque Ahamad, Srijan Kumar |
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code |
5 |
| Debiasing Learning based Cross-domain Recommendation |
Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, JiRong Wen |
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code |
5 |
| Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling |
Siyu Gu, XiangRong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu |
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code |
5 |
| Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages |
Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato |
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code |
5 |
| Towards a Better Understanding of Linear Models for Recommendation |
Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou |
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code |
5 |
| Retrieval & Interaction Machine for Tabular Data Prediction |
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu |
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code |
5 |
| Spectral Clustering of Attributed Multi-relational Graphs |
Ylli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant |
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code |
5 |
| Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines |
Guang Wang, Zhou Qin, Shuai Wang, Huijun Sun, Zheng Dong, Desheng Zhang |
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code |
5 |
| Uplift Modeling with Generalization Guarantees |
Artem Betlei, Eustache Diemert, MassihReza Amini |
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code |
5 |
| Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs |
Jialin Dong, Da Zheng, Lin F. Yang, George Karypis |
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code |
5 |
| Fairness-Aware Online Meta-learning |
Chen Zhao, Feng Chen, Bhavani Thuraisingham |
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code |
5 |
| PAM: Understanding Product Images in Cross Product Category Attribute Extraction |
Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong |
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code |
5 |
| Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber |
Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, JeongYoon Lee |
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code |
5 |
| Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization |
WeiXuan Bao, JunYi Hang, MinLing Zhang |
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code |
5 |
| DARING: Differentiable Causal Discovery with Residual Independence |
Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang |
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code |
5 |
| Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries |
JunGi Jang, U Kang |
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code |
5 |
| NewsEmbed: Modeling News through Pre-trained Document Representations |
Jialu Liu, Tianqi Liu, Cong Yu |
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code |
5 |
| Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition |
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang |
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code |
5 |
| Deep Clustering based Fair Outlier Detection |
Hanyu Song, Peizhao Li, Hongfu Liu |
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code |
5 |
| Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation |
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong |
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code |
5 |
| Geometric Graph Representation Learning on Protein Structure Prediction |
Tian Xia, WeiShinn Ku |
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code |
5 |
| Controllable Generation from Pre-trained Language Models via Inverse Prompting |
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang |
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code |
5 |
| Counterfactual Graphs for Explainable Classification of Brain Networks |
Carlo Abrate, Francesco Bonchi |
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code |
5 |
| A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions |
Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai |
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code |
5 |
| Analysis of Faces in a Decade of US Cable TV News |
James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian |
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code |
5 |
| KompaRe: A Knowledge Graph Comparative Reasoning System |
Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong |
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code |
5 |
| AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units |
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel |
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code |
5 |
| RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation |
Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu |
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code |
5 |
| Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms |
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye |
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code |
5 |
| Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning |
Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang |
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code |
5 |
| Reinforcing Pretrained Models for Generating Attractive Text Advertisements |
Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie |
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code |
5 |
| AutoML: A Perspective where Industry Meets Academy |
Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang |
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code |
5 |
| Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation |
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi |
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code |
4 |
| Efficient Data-specific Model Search for Collaborative Filtering |
Chen Gao, Quanming Yao, Depeng Jin, Yong Li |
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code |
4 |
| Sliding Spectrum Decomposition for Diversified Recommendation |
Yanhua Huang, Weikun Wang, Lei Zhang, Ruiwen Xu |
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code |
4 |
| Device-Cloud Collaborative Learning for Recommendation |
Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang |
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code |
4 |
| Norm Adjusted Proximity Graph for Fast Inner Product Retrieval |
Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li |
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code |
4 |
| H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks |
Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang |
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code |
4 |
| Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter |
Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Émilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty |
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code |
4 |
| High-Dimensional Similarity Query Processing for Data Science |
Jianbin Qin, Wei Wang, Chuan Xiao, Ying Zhang, Yaoshu Wang |
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code |
4 |
| Triangle-aware Spectral Sparsifiers and Community Detection |
Konstantinos Sotiropoulos, Charalampos E. Tsourakakis |
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code |
4 |
| Learning Based Proximity Matrix Factorization for Node Embedding |
Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang |
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code |
4 |
| MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks |
Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang |
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code |
4 |
| Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability |
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
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code |
4 |
| MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning |
Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai |
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code |
4 |
| User Consumption Intention Prediction in Meituan |
Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li |
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code |
4 |
| Graph Similarity Description: How Are These Graphs Similar? |
Corinna Coupette, Jilles Vreeken |
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code |
4 |
| Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data |
Zhixuan Chu, Stephen L. Rathbun, Sheng Li |
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code |
4 |
| Indirect Invisible Poisoning Attacks on Domain Adaptation |
Jun Wu, Jingrui He |
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code |
4 |
| Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy |
Zai Huang, Mingyuan Tao, Bufeng Zhang |
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code |
4 |
| Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach |
Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu |
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code |
4 |
| Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons |
Joel Barajas, Narayan Bhamidipati, James G. Shanahan |
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code |
4 |
| Why Attentions May Not Be Interpretable? |
Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang |
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code |
4 |
| Unsupervised Graph Alignment with Wasserstein Distance Discriminator |
Ji Gao, Xiao Huang, Jundong Li |
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code |
4 |
| UCPhrase: Unsupervised Context-aware Quality Phrase Tagging |
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang |
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code |
4 |
| Generalized Zero-Shot Extreme Multi-label Learning |
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma |
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code |
4 |
| Graph Summarization with Controlled Utility Loss |
Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo |
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code |
4 |
| Coupled Graph ODE for Learning Interacting System Dynamics |
Zijie Huang, Yizhou Sun, Wei Wang |
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code |
4 |
| ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations |
Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park |
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code |
4 |
| Signed Graph Neural Network with Latent Groups |
Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu |
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code |
4 |
| Partial Multi-Label Learning with Meta Disambiguation |
MingKun Xie, Feng Sun, ShengJun Huang |
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code |
4 |
| ELITE: Robust Deep Anomaly Detection with Meta Gradient |
Huayi Zhang, Lei Cao, Peter VanNostrand, Samuel Madden, Elke A. Rundensteiner |
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code |
4 |
| Modeling Context-aware Features for Cognitive Diagnosis in Student Learning |
Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma |
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code |
4 |
| Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction |
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning |
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code |
4 |
| Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection |
Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong |
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code |
4 |
| Network Experimentation at Scale |
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun |
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code |
4 |
| M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining |
Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang |
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code |
4 |
| Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning |
Ignacio SegoviaDominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel |
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code |
4 |
| Interpretable Drug Response Prediction using a Knowledge-based Neural Network |
Oliver Snow, Hossein SharifiNoghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester |
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code |
4 |
| HALO: Hierarchy-aware Fault Localization for Cloud Systems |
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
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code |
4 |
| Towards Fair Federated Learning |
Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang |
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code |
4 |
| VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search |
Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko |
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code |
3 |
| Globally Optimized Matchmaking in Online Games |
Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui |
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code |
3 |
| Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature |
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon |
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code |
3 |
| Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets |
Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian |
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code |
3 |
| Neural Instant Search for Music and Podcast |
Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette |
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code |
3 |
| SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce |
Andrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany |
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code |
3 |
| Talent Demand Forecasting with Attentive Neural Sequential Model |
Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong |
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code |
3 |
| Deep Learning based Crop Row Detection with Online Domain Adaptation |
Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran |
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code |
3 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud |
Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi |
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code |
3 |
| Multi-facet Contextual Bandits: A Neural Network Perspective |
Yikun Ban, Jingrui He, Curtiss B. Cook |
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code |
3 |
| Multiple-Instance Learning from Similar and Dissimilar Bags |
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu |
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code |
3 |
| Representation Learning on Knowledge Graphs for Node Importance Estimation |
Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong |
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code |
3 |
| Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning |
Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie |
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code |
3 |
| Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains |
Wenbo Zheng, Lan Yan, Chao Gou, FeiYue Wang |
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code |
3 |
| Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition |
Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
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code |
3 |
| DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction |
Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang |
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code |
3 |
| Fast One-class Classification using Class Boundary-preserving Random Projections |
Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur |
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code |
3 |
| PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks |
Junjie Chen, Wendy Hui Wang, Hongchang Gao, Xinghua Shi |
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code |
3 |
| Improve Learning from Crowds via Generative Augmentation |
Zhendong Chu, Hongning Wang |
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code |
3 |
| Sylvester Tensor Equation for Multi-Way Association |
Boxin Du, Lihui Liu, Hanghang Tong |
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code |
3 |
| When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods |
Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer |
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code |
3 |
| Gaussian Process with Graph Convolutional Kernel for Relational Learning |
Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
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code |
3 |
| Subset Node Representation Learning over Large Dynamic Graphs |
Xingzhi Guo, Baojian Zhou, Steven Skiena |
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code |
3 |
| Uncertainty-Aware Reliable Text Classification |
Yibo Hu, Latifur Khan |
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code |
3 |
| Semi-Supervised Deep Learning for Multiplex Networks |
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
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code |
3 |
| Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective |
Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li |
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code |
3 |
| Zero-shot Node Classification with Decomposed Graph Prototype Network |
Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong |
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code |
3 |
| Defending Privacy Against More Knowledgeable Membership Inference Attackers |
Yu Yin, Ke Chen, Lidan Shou, Gang Chen |
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code |
3 |
| Efficient Incremental Computation of Aggregations over Sliding Windows |
Chao Zhang, Reza Akbarinia, Farouk Toumani |
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code |
3 |
| Maximizing Influence of Leaders in Social Networks |
Xiaotian Zhou, Zhongzhi Zhang |
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code |
3 |
| Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization |
Guy Barshatski, Kira Radinsky |
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code |
3 |
| Generating Mobility Trajectories with Retained Data Utility |
Chu Cao, Mo Li |
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code |
3 |
| PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis |
Yifei Chen, Haoyu Ma, Jiangyuan Wang, Jianbao Wu, Xian Wu, Xiaohui Xie |
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code |
3 |
| Robust Object Detection Fusion Against Deception |
Ka Ho Chow, Ling Liu |
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code |
3 |
| Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights |
David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell |
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code |
3 |
| A Deep Learning Method for Route and Time Prediction in Food Delivery Service |
Chengliang Gao, Fan Zhang, Guanqun Wu, Qiwan Hu, Qiang Ru, Jinghua Hao, Renqing He, Zhizhao Sun |
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code |
3 |
| Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information |
Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li |
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code |
3 |
| Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework |
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant |
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code |
3 |
| Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach |
Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He |
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code |
3 |
| A Bayesian Approach to In-Game Win Probability in Soccer |
Pieter Robberechts, Jan Van Haaren, Jesse Davis |
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code |
3 |
| A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting |
Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav |
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code |
3 |
| Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis |
Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, YuXuan Huang, LeWen Cai, Hui Zhang, MinLing Zhang, ZhiHua Zhou, Yingcai Wu |
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code |
3 |
| Session-Aware Query Auto-completion using Extreme Multi-Label Ranking |
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon |
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code |
2 |
| Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics |
Ninh Pham |
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code |
2 |
| Towards the D-Optimal Online Experiment Design for Recommender Selection |
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
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code |
2 |
| Machine Learning Robustness, Fairness, and their Convergence |
JaeGil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang |
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code |
2 |
| Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility |
Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang |
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code |
2 |
| Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems |
Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao |
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code |
2 |
| Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach |
Junhao Hua, Ling Yan, Huan Xu, Cheng Yang |
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code |
2 |
| Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters |
Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, BorYiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman |
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code |
2 |
| AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce |
Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang |
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code |
2 |
| Bootstrapping Recommendations at Chrome Web Store |
Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork |
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code |
2 |
| MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal |
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong |
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code |
2 |
| Causal Models for Real Time Bidding with Repeated User Interactions |
Martin Bompaire, Alexandre Gilotte, Benjamin Heymann |
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code |
2 |
| Fast Rotation Kernel Density Estimation over Data Streams |
Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan, Chao Deng |
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code |
2 |
| Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning |
Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, KuangChih Lee |
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code |
2 |
| Fine-Grained System Identification of Nonlinear Neural Circuits |
Dawna Bagherian, James Gornet, Jeremy Bernstein, YuLi Ni, Yisong Yue, Markus Meister |
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code |
2 |
| Large-Scale Subspace Clustering via k-Factorization |
Jicong Fan |
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code |
2 |
| Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders |
Negin Golrezaei, Max Lin, Vahab S. Mirrokni, Hamid Nazerzadeh |
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code |
2 |
| Online Additive Quantization |
Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen |
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code |
2 |
| Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression |
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke |
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code |
2 |
| Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks |
Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang |
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code |
2 |
| Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification |
Jiawen Zhang, Jiaqi Zhu, Yi Yang, Wandong Shi, Congcong Zhang, Hongan Wang |
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code |
2 |
| DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing |
Bohan Zhao, Xiang Li, Boyu Tian, Zhiyu Mei, Wenfei Wu |
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code |
2 |
| Cluster-Reduce: Compressing Sketches for Distributed Data Streams |
Yikai Zhao, Zheng Zhong, Yuanpeng Li, Yi Zhou, Yifan Zhu, Li Chen, Yi Wang, Tong Yang |
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code |
2 |
| Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement |
Changhun Lee, Soohyeok Kim, Chiehyeon Lim, Jayun Kim, Yeji Kim, Minyoung Jung |
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code |
2 |
| Lambda Learner: Fast Incremental Learning on Data Streams |
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar |
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code |
2 |
| Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value |
Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He |
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code |
2 |
| Machine Learning Explainability and Robustness: Connected at the Hip |
Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang |
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code |
2 |
| Automated Machine Learning on Graph |
Xin Wang, Wenwu Zhu |
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code |
2 |
| Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation |
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry |
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code |
2 |
| Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes |
Sohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi |
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code |
2 |
| PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics |
Arka Daw, M. Maruf, Anuj Karpatne |
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code |
2 |
| Labeled Data Generation with Inexact Supervision |
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang |
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code |
2 |
| Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment |
LanZhe Guo, Zhi Zhou, JieJing Shao, Qi Zhang, Feng Kuang, GaoLe Li, ZhangXun Liu, Guobin Wu, Nan Ma, Qun Li, YuFeng Li |
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code |
2 |
| Deep Generative Models for Spatial Networks |
Xiaojie Guo, Yuanqi Du, Liang Zhao |
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code |
2 |
| PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design |
Amin Heyrani Nobari, Wei Chen, Faez Ahmed |
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code |
2 |
| HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem |
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha |
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code |
2 |
| Cross-Network Learning with Partially Aligned Graph Convolutional Networks |
Meng Jiang |
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code |
2 |
| Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability |
Haoran Li, Yang Weng |
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code |
2 |
| Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs |
Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, XiaoMing Wu |
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code |
2 |
| ControlBurn: Feature Selection by Sparse Forests |
Brian Liu, Miaolan Xie, Madeleine Udell |
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code |
2 |
| HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks |
Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song |
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code |
2 |
| Temporal Graph Signal Decomposition |
Maxwell J. McNeil, Lin Zhang, Petko Bogdanov |
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code |
2 |
| Fruit-fly Inspired Neighborhood Encoding for Classification |
Kaushik Sinha, Parikshit Ram |
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code |
2 |
| A Stagewise Hyperparameter Scheduler to Improve Generalization |
Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang |
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code |
2 |
| Choice Set Confounding in Discrete Choice |
Kiran Tomlinson, Johan Ugander, Austin R. Benson |
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code |
2 |
| Learning Interpretable Feature Context Effects in Discrete Choice |
Kiran Tomlinson, Austin R. Benson |
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code |
2 |
| Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis |
Veronica Tozzo, Federico Ciech, Davide Garbarino, Alessandro Verri |
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code |
2 |
| The Generalized Mean Densest Subgraph Problem |
Nate Veldt, Austin R. Benson, Jon M. Kleinberg |
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code |
2 |
| Towards Robust Prediction on Tail Labels |
Tong Wei, WeiWei Tu, YuFeng Li, GuoPing Yang |
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code |
2 |
| Quantifying Uncertainty in Deep Spatiotemporal Forecasting |
Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, YiAn Ma, Rose Yu |
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code |
2 |
| Accelerating Set Intersections over Graphs by Reducing-Merging |
Weiguo Zheng, Yifan Yang, Chengzhi Piao |
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code |
2 |
| Dynamic Language Models for Continuously Evolving Content |
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork |
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code |
2 |
| Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms |
Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý |
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code |
2 |
| Causal and Interpretable Rules for Time Series Analysis |
Amin Dhaou, Antoine Bertoncello, Sébastien Gourvénec, Josselin Garnier, Erwan Le Pennec |
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code |
2 |
| What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data |
Charbel Merhej, Ryan J. Beal, Tim Matthews, Sarvapali D. Ramchurn |
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code |
2 |
| Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization |
Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau |
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code |
2 |
| EXACTA: Explainable Column Annotation |
Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan |
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code |
2 |
| Data Science on Blockchains |
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel |
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code |
2 |
| Advances in Mining Heterogeneous Healthcare Data |
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun |
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code |
2 |
| Toward Explainable Deep Anomaly Detection |
Guansong Pang, Charu C. Aggarwal |
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code |
2 |
| Counterfactual Explanations in Explainable AI: A Tutorial |
Cong Wang, XiaoHui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen |
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code |
2 |
| From Deep Learning to Deep Reasoning |
Truyen Tran, Vuong Le, Hung Le, Thao Minh Le |
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code |
2 |
| Fairness in Networks: Social Capital, Information Access, and Interventions |
Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset |
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code |
2 |
| Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search |
Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng |
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code |
1 |
| Joint Graph Embedding and Alignment with Spectral Pivot |
Paris A. Karakasis, Aritra Konar, Nicholas D. Sidiropoulos |
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code |
1 |
| Diversity driven Query Rewriting in Search Advertising |
Akash Kumar Mohankumar, Nikit Begwani, Amit Singh |
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code |
1 |
| Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings |
BoWen Yuan, YuSheng Li, Pengrui Quan, ChihJen Lin |
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code |
1 |
| We Know What You Want: An Advertising Strategy Recommender System for Online Advertising |
Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu |
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code |
1 |
| Architecture and Operation Adaptive Network for Online Recommendations |
Lang Lang, Zhenlong Zhu, Xuanye Liu, Jianxin Zhao, Jixing Xu, Minghui Shan |
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code |
1 |
| Aggregating Complex Annotations via Merging and Matching |
Alexander Braylan, Matthew Lease |
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code |
1 |
| VisRel: Media Search at Scale |
Fedor Borisyuk, Siddarth Malreddy, Jun Mei, Yiqun Liu, Xiaoyi Liu, Piyush Maheshwari, Anthony Bell, Kaushik Rangadurai |
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code |
1 |
| GEM: Translation-Free Zero-Shot Global Entity Matcher for Global Catalogs |
Karim Bouyarmane |
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code |
1 |
| Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries |
Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, HengTze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra |
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code |
1 |
| Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors |
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu |
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code |
1 |
| On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition |
ChingYuan Bai, HsuanTien Lin, Colin Raffel, Wendy Chiwen Kan |
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code |
1 |
| Q-Learning Lagrange Policies for Multi-Action Restless Bandits |
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe |
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code |
1 |
| An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs |
Shiju Li, Xin Huang, ChulHo Lee |
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code |
1 |
| Individual Treatment Prescription Effect Estimation in a Low Compliance Setting |
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert |
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code |
1 |
| JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework |
Ding Wang, PangNing Tan |
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code |
1 |
| Probabilistic Label Tree for Streaming Multi-Label Learning |
Tong Wei, JiangXin Shi, YuFeng Li |
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code |
1 |
| Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application |
Mingze Zhong, Hong Xie, Qingsheng Zhu |
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code |
1 |
| Triplet Attention: Rethinking the Similarity in Transformers |
Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang |
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code |
1 |
| On Post-selection Inference in A/B Testing |
Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy |
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code |
1 |
| Clustering for Private Interest-based Advertising |
Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert BusaFekete, C. J. Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang |
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code |
1 |
| MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance |
Zhihan Fang, Guang Yang, Dian Zhang, Xiaoyang Xie, Guang Wang, Yu Yang, Fan Zhang, Desheng Zhang |
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code |
1 |
| Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits |
Benjamin Han, Carl Arndt |
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code |
1 |
| Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design |
Min Liu, Jialiang Mao, Kang Kang |
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code |
1 |
| Contextual Bandit Applications in a Customer Support Bot |
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen |
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code |
1 |
| Dynamic Social Media Monitoring for Fast-Evolving Online Discussions |
Maya Srikanth, Anqi Liu, Nicholas AdamsCohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar |
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code |
1 |
| PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma |
Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi |
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code |
1 |
| Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction |
Yu Zheng, Yongxin Yang, Bowei Chen |
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code |
1 |
| AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data |
Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng |
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code |
1 |
| KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review |
Nihar B. Shah |
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code |
1 |
| LawyerPAN: A Proficiency Assessment Network for Trial Lawyers |
Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen |
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code |
1 |
| On Breaking Truss-Based Communities |
Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Solon P. Pissis, Michelle Sweering |
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code |
1 |
| Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery |
Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun |
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code |
1 |
| Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors |
Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan |
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code |
1 |
| A Difficulty-Aware Framework for Churn Prediction and Intervention in Games |
Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma |
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code |
1 |
| Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions |
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan |
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code |
1 |
| MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches |
Mike A. Merrill, Ge Zhang, Tim Althoff |
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code |
1 |
| Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes |
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
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code |
1 |
| Faster and Generalized Temporal Triangle Counting, via Degeneracy Ordering |
Noujan Pashanasangi, C. Seshadhri |
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code |
1 |
| Fast and Accurate Partial Fourier Transform for Time Series Data |
Yongchan Park, JunGi Jang, U Kang |
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code |
1 |
| Enhancing SVMs with Problem Context Aware Pipeline |
Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen |
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code |
1 |
| Forecasting Interaction Order on Temporal Graphs |
Wenwen Xia, Yuchen Li, Jianwei Tian, Shenghong Li |
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code |
1 |
| MTC: Multiresolution Tensor Completion from Partial and Coarse Observations |
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun |
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code |
1 |
| Model-Based Counterfactual Synthesizer for Interpretation |
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu |
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code |
1 |
| TopNet: Learning from Neural Topic Model to Generate Long Stories |
Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun |
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code |
1 |
| Context-aware Outstanding Fact Mining from Knowledge Graphs |
Yueji Yang, Yuchen Li, Panagiotis Karras, Anthony K. H. Tung |
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code |
1 |
| Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks |
Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie |
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code |
1 |
| Data Poisoning Attacks Against Outcome Interpretations of Predictive Models |
Hengtong Zhang, Jing Gao, Lu Su |
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code |
1 |
| Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups |
Shengming Zhang, Hao Zhong, Zixuan Yuan, Hui Xiong |
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code |
1 |
| MPCSL - A Modular Pipeline for Causal Structure Learning |
Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner |
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code |
1 |
| Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing |
Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta |
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code |
1 |
| Improving the Information Disclosure in Mobility-on-Demand Systems |
Yue Yang, Yuan Shi, Dejian Wang, Qisheng Chen, Lei Xu, Hanqian Li, Zhouyu Fu, Xin Li, Hao Zhang |
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code |
1 |
| Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network |
Jaehyuk Yi, Jinkyoo Park |
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code |
1 |
| Graph Representation Learning: Foundations, Methods, Applications and Systems |
Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu |
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code |
1 |
| From Tables to Knowledge: Recent Advances in Table Understanding |
Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen |
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code |
1 |
| Mixed Method Development of Evaluation Metrics |
Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz |
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code |
1 |
| Artificial Intelligence for Drug Discovery |
Jian Tang, Fei Wang, Feixiong Cheng |
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code |
1 |
| Causal Inference from Network Data |
Elena Zheleva, David Arbour |
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1 |
| Data Science with Human in the Loop |
Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic |
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1 |
| Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning |
Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi |
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| Multi-Objective Recommendations |
Yong Zheng, David (Xuejun) Wang |
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0 |
| Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research |
Toryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, MeiLing E. Feng, Olukunle O. Owolabi, Sean E. Ryan, MarieChristine Düker, Michael Jauch, David S. Matteson |
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| Large-Scale Network Embedding in Apache Spark |
Wenqing Lin |
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| Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond |
Daniel Jiang, Haipeng Luo, Chu Wang, Yingfei Wang |
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| A Hyper-surface Arrangement Model of Ranking Distributions |
Shizuo Kaji, Akira Horiguchi, Takuro Abe, Yohsuke Watanabe |
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| A Color-blind 3-Approximation for Chromatic Correlation Clustering and Improved Heuristics |
Nicolas Klodt, Lars Seifert, Arthur Zahn, Katrin Casel, Davis Issac, Tobias Friedrich |
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| Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization |
Xuejun Liao, Patrick Koch, Shunping Huang, Yan Xu |
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| Multi-Task Learning via Generalized Tensor Trace Norm |
Yi Zhang, Yu Zhang, Wei Wang |
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| Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition |
Sihem AmerYahia, Shady Elbassuoni, Ahmad Ghizzawi, Anas Hosami |
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| Creating Recommender Systems Datasets in Scientific Fields |
Márcia Barros, Francisco M. Couto, Matilde Pato, Pedro Ruas |
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Junzhou Zhao, Pinghui Wang, Chao Deng, Jing Tao |
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| Meaning Error Rate: ASR domain-specific metric framework |
Ludmila Gordeeva, Vasily Ershov, Oleg Gulyaev, Igor Kuralenok |
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| Dip-based Deep Embedded Clustering with k-Estimation |
Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant |
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| Large-Scale Data-Driven Airline Market Influence Maximization |
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park |
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| Local Algorithms for Estimating Effective Resistance |
Pan Peng, Daniel Lopatta, Yuichi Yoshida, Gramoz Goranci |
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Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang |
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Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey |
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| Interactive Audience Expansion On Large Scale Online Visitor Data |
Gromit YeukYin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire |
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Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang |
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Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong |
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| MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm |
Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman |
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Preslav Nakov, Giovanni Da San Martino |
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| A Visual Tour of Bias Mitigation Techniques for Word Representations |
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| Physics-Guided AI for Large-Scale Spatiotemporal Data |
Rose Yu, Paris Perdikaris, Anuj Karpatne |
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| All You Need to Know to Build a Product Knowledge Graph |
Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong |
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Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica |
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| Machine Learning in Finance |
Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. RodríguezSerrano, Tanveer A. Faruquie, Saurabh Nagrecha |
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| MLHat: Deployable Machine Learning for Security Defense |
Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh |
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| Machine Learning for Consumers and Markets |
Wen Wang, Han Zhao, Dokyun Lee, George H. Chen |
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| On the Nature of Data Science |
Jeffrey D. Ullman |
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| Safe Learning in Robotics |
Claire J. Tomlin |
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| Data Science for Assembly Engineering |
Sharon C. Glotzer |
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| Automated Mechanism Design for Strategic Classification: Abstract for KDD'21 Keynote Talk |
Vincent Conitzer |
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| Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution |
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu |
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| ProgRPGAN: Progressive GAN for Route Planning |
TaoYang Fu, WangChien Lee |
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Jonas Fischer, Jilles Vreeken |
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| Towards Computing a Near-Maximum Weighted Independent Set on Massive Graphs |
Jiewei Gu, Weiguo Zheng, Yuzheng Cai, Peng Peng |
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| Pruning-Aware Merging for Efficient Multitask Inference |
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele |
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| Metric Learning via Penalized Optimization |
Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu |
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| Auditing for Diversity Using Representative Examples |
Vijay Keswani, L. Elisa Celis |
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| Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection |
Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng |
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| BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment |
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns |
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| Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance |
Neil G. Marchant, Benjamin I. P. Rubinstein |
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| Redescription Model Mining |
Felix I. Stamm, Martin Becker, Markus Strohmaier, Florian Lemmerich |
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| Alphacore: Data Depth based Core Decomposition |
Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu |
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| MapEmbed: Perfect Hashing with High Load Factor and Fast Update |
Yuhan Wu, Zirui Liu, Xiang Yu, Jie Gui, Haochen Gan, Yuhao Han, Tao Li, Ori Rottenstreich, Tong Yang |
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| Numerical Formula Recognition from Tables |
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| Extremely Compact Non-local Representation Learning |
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| Web-Scale Generic Object Detection at Microsoft Bing |
Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada |
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| FASER: Seismic Phase Identifier for Automated Monitoring |
Farhan Asif Chowdhury, M. Ashraf Siddiquee, Glenn Eli Baker, Abdullah Mueen |
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| Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies |
Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid ShwartzZiv, Itamar BenAri, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon |
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| Addressing Non-Representative Surveys using Multiple Instance Learning |
Yaniv Katz, Oded Vainas |
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0 |
| Categorization of Financial Transactions in QuickBooks |
Juan Liu, Lei Pei, Ying Sun, Heather Simpson, Jocelyn Lu, Nhung Ho |
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| Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse |
Martin ValdezVivas, Varun Sharma, Nick Stanisha, Shan Li, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler |
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| Representation Learning for Predicting Customer Orders |
Tongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, Yuming Deng |
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| Software as a Medical Device: Regulating AI in Healthcare via Responsible AI |
Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert |
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| Explainability for Natural Language Processing |
Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, Anbang Xu |
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| Challenges in KDD and ML for Sustainable Development |
Laure BertiÉquille, David Dao, Stefano Ermon, Bedharta Goswami |
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| Fairness and Explanation in Clustering and Outlier Detection |
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| On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining |
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| Language Scaling: Applications, Challenges and Approaches |
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| Fragile Earth: Accelerating Progress towards Equitable Sustainability |
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| AdKDD 2021 |
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuangchih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan |
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| ODD: Outlier Detection and Description |
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| Measures and Best Practices for Responsible AI |
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