20.md

• Neural Teleportation
• Time-Travel Rephotography
• Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects
• Deep Learning for Human Mobility: a Survey on Data and Models
• When Machine Learning Meets Quantum Computers: A Case Study
• Model Optimization for Deep Space Exploration via Simulators and Deep Learning
• Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
• Thinking Fast and Slow in AI
• Imitating Interactive Intelligence
• An Attentive Survey of Attention Models
• A Survey on Neural Network Interpretability
• Brain-inspired Search Engine Assistant based on Knowledge Graph
• DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
• A Survey on Visual Transformer
• Graph Neural Networks: Taxonomy, Advances and Trends
• Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation
• Person Re-Identification using Deep Learning Networks: A Systematic Review
• Tensor Representations for Action Recognition
• A Comprehensive Study of Deep Video Action Recognition
• Human Action Recognition from Various Data Modalities: A Review
• From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi
• Pre-Training a Language Model Without Human Language
• Understanding Attention: In Minds and Machines
• Brain Co-Processors: Using AI to Restore and Augment Brain Function
• PMLB v1.0: an open source dataset collection for benchmarking machine learning methods
• Deep Learning-Based Human Pose Estimation: A Survey
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Underspecification Presents Challenges for Credibility in Modern Machine Learning
• MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
• DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
• CPM: A Large-scale Generative Chinese Pre-trained Language Model
• Twitter Spam Detection: A Systematic Review
• Scaling down Deep Learning
• Point Transformer
• Neurosymbolic AI: The 3rd Wave
• Towards Fully Automated Manga Translation
• SceneFormer: Indoor Scene Generation with Transformers
• Taming Transformers for High-Resolution Image Synthesis
• MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
• Parameter-Efficient Transfer Learning with Diff Pruning
• Learning Energy-Based Models by Diffusion Recovery Likelihood
• How Much Knowledge Can You Pack Into the Parameters of a Language Model?
• Extracting Training Data from Large Language Models
• Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
• Directional Graph Networks
• Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop
• Scaled-YOLOv4: Scaling Cross Stage Partial Network
• Differences between human and machine perception in medical diagnosis
• GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms
• The Mimicry Game: Towards Self-recognition in Chatbots
• EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP
• Molecular representation learning with language models and domain-relevant auxiliary tasks
• A Note on Data Biases in Generative Models
• RealFormer: Transformer Likes Residual Attention
• I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling
• ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
• Deep Portfolio Optimization via Distributional Prediction of Residual Factors
• Meta-learning in natural and artificial intelligence
• OneNet: Towards End-to-End One-Stage Object Detection
• Meticulous Object Segmentation
• Toward Transformer-Based Object Detection
• Generative Deep Learning Techniques for Password Generation
• On the experimental feasibility of quantum state reconstruction via machine learning
• LieTransformer: Equivariant self-attention for Lie Groups
• WILDS: A Benchmark of in-the-Wild Distribution Shifts
• Design Space for Graph Neural Networks
• gradSLAM: Automagically differentiable SLAM
• ANR: Articulated Neural Rendering for Virtual Avatars
• Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
• TorchMD: A deep learning framework for molecular simulations
• Self-supervised Learning: Generative or Contrastive
• Finite Versus Infinite Neural Networks: an Empirical Study
• MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery
• Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving
• Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device
• Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
• Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
• Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications
• Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
• 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
• PCT: Point Cloud Transformer
• Spectral Methods for Data Science: A Statistical Perspective
• Utilising Graph Machine Learning within Drug Discovery and Development
• AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
• The Lottery Ticket Hypothesis for Object Recognition
• Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs
• Continual Lifelong Learning in Natural Language Processing: A Survey
• NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
• Just Ask: Learning to Answer Questions from Millions of Narrated Videos
• SyNet: An Ensemble Network for Object Detection in UAV Images
• Multi-Task Multi-Sensor Fusion for 3D Object Detection
• Interactive Teaching for Conversational AI
• Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
• State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
• Lidar and Camera Self-Calibration using CostVolume Network
• A Survey on Neural Network Interpretability
• GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking
• Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
• Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment
• Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints
• MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices
• Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration
• The Hardware Lottery
• Nengo and low-power AI hardware for robust, embedded neurorobotics
• A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
• Visual Question Answering using Deep Learning: A Survey and Performance Analysis
• Deep Learning for Text Style Transfer: A Survey
• Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
• Video Super Resolution Based on Deep Learning: A Comprehensive Survey
• Machine Learning for Wireless Link Quality Estimation: A Survey
• Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
• Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
• Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
• Deep Learning for Medical Anomaly Detection -- A Survey
• A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
• Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
• Voice Separation with an Unknown Number of Multiple Speakers
• A Tensor Compiler for Unified Machine Learning Prediction Serving
• YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)
• MCUNet: Tiny Deep Learning on IoT Devices
• Improving the Generalization of End-to-End Driving through Procedural Generation
• Training data-efficient image transformers & distillation through attention
• EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy

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• Challenges in Deploying Machine Learning: a Survey of Case Studies
• TLDR: Extreme Summarization of Scientific Documents
• Can Federated Learning Save The Planet ?
• Underspecification Presents Challenges for Credibility in Modern Machine Learning
• Scaling Laws for Neural Language Models
• GIF: Generative Interpretable Faces
• Gradient Starvation: A Learning Proclivity in Neural Networks
• Black Magic in Deep Learning: How Human Skill Impacts Network Training
• DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
• A Transfer Learning Framework for Anomaly Detection Using Model of Normality
• MicroNet: Towards Image Recognition with Extremely Low FLOPs
• European Strategy on AI: Are we truly fostering social good?
• FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning
• Distributed Reinforcement Learning is a Dataflow Problem
• Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques
• Supercomputing Performance & Efficiency: An Exploration Of Recent History & Near-Term Projections

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• When Machine Learning Meets Privacy: A Survey and Outlook
• Transfer Adaptation Learning: A Decade Survey ⭐
• A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations
• Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
• A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
• Zero-Shot Action Recognition in Videos: A Survey
• Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
• Image Segmentation Using Deep Learning: A Survey ⭐
• A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks
• Multi-document Summarization via Deep Learning Techniques: A Survey
• Overcoming Negative Transfer: A Survey ⭐
• Meta-Learning in Neural Networks: A Survey
• The Potential of Machine Learning and NLP for Handling Students' Feedback (A Short Survey)
• Privacy in Deep Learning: A Survey
• Face Morphing Attack Generation & Detection: A Comprehensive Survey
• Image Colorization: A Survey and Dataset
• Automatic Detection of Machine Generated Text: A Critical Survey
• Deep Learning for Text Attribute Transfer: A Survey

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• mT5: A massively multilingual pre-trained text-to-text transformer
• Fourier Neural Operator for Parametric Partial Differential Equations
• A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
• A Survey of the State of Explainable AI for Natural Language Processing
• Neural Unsupervised Domain Adaptation in NLP---A Survey
• It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
• Current Limitations of Language Models: What You Need is Retrieval
• Scaling Laws for Autoregressive Generative Modeling
• A Comprehensive Survey on Curriculum Learning
• FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
• Spiking Neural Networks -- Part I: Detecting Spatial Patterns
• Spiking Neural Networks -- Part II: Detecting Spatio-Temporal Patterns
• Spiking Neural Networks -- Part III: Neuromorphic Communications

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• Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking ⭐
• Detection of gravitational-wave signals from binary neutron star mergers using machine learning ⭐
• The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
• Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search
• Pchatbot: A Large-Scale Dataset for Personalized Chatbot
• Brain2Word: Decoding Brain Activity for Language Generation
• Efficient Transformers: A Survey
• AutoML: A Survey of the State-of-the-Art
• Meta-Learning in Neural Networks: A Survey
• Deep Learning for 3D Point Cloud Understanding: A Survey
• Transfer Learning in Deep Reinforcement Learning: A Survey
• The Creation and Detection of Deepfakes: A Survey
• Learning from Very Few Samples: A Survey
• Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
• Global Optimum Search in Quantum Deep Learning
• Classification with Quantum Machine Learning: A Survey
• Training Large Neural Networks with Constant Memory using a New Execution Algorithm
• Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
• Evolutionary Architecture Search for Graph Neural Networks
• FedNAS: Federated Deep Learning via Neural Architecture Search
• Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
• TextAttack: A Framework for Adversarial Attacks, DataAugmentation, and Adversarial Training in NLP
• CFO: A Framework for Building Production NLP Systems
• The State of NLP Literature:A Diachronic Analysis of the ACL Anthology
• BreachRadar: Automatic Detection of Points-of-Compromise
• Secure Data Sharing With Flow Model
• X-LXMERT: Paint, Caption and Answer Questionswith Multi-Modal Transformers
• A Unifying Reviewof Deep and Shallow Anomaly Detection
• Transformers Are Better Than Humans at Identifying Generated Text
• A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time
• Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
• Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps

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Aug - 2020

• The Cost of Training NLP Models: A Concise Overview
• A Survey on Large-scale Machine Learning
• The Deep Learning Compiler: A Comprehensive Survey ⭐
• Survey of Machine Learning Accelerators
• Deep Learning in Mobile and Wireless Networking: A Survey ⭐
• A Systematic Assessment of Deep Learning Models for Molecule Generation
• A Survey of Evaluation Metrics Used for NLG Systems
• A survey on applications of augmented, mixed and virtual reality for nature and environment
• TTNet: Real-time temporal and spatial video analysis of table tennis
• One Thousand and One Hours: Self-driving Motion Prediction Dataset
• Quantum Neuron: an elementary building block for machine learning on quantum computers
• Causal blankets: Theory and algorithmic framework
• The Adapter-Bot: All-In-One Controllable Conversational Model
• A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
• StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
• Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
• Verifiably Safe Exploration for End-to-End Reinforcement Learning
• Bosch Deep Learning Hardware Benchmark
• RGB-D Salient Object Detection: A Survey
• Deep Face Recognition: A Survey
• A Survey on the Evolution of Stream Processing Systems
• A Survey on Text Classification: From Shallow to Deep Learning
• Event Prediction in the Big Data Era: A Systematic Survey
• Adversarial Examples on Object Recognition: A Comprehensive Survey
• Compression of Deep Learning Models for Text: A Survey
• Reinforcement Learning for Combinatorial Optimization: A Survey
• A Survey of Active Learning for Text Classification using Deep Neural Networks
• Intelligent Radio Signal Processing: A Contemporary Survey
• Image Colorization: A Survey and Dataset

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July - 2020

• Differentiable Rendering: A Survey
• Beyond the Worst-Case Analysis of Algorithms (Introduction)
• Big Bird: Transformers for Longer Sequences
• Self-supervised Learning on Graphs: Deep Insights and New Direction
• Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
• NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets
• RL Unplugged: Benchmarks for Offline Reinforcement Learning
• Meta-learning for Few-shot Natural Language Processing: A Survey
• Quantum Algorithms for Escaping from Saddle Points
• hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware

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June - 2020

• Facing the Hard Problems in FGVC
• Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
• Evaluation of Text Generation: A Survey
• Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
• 2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection
• A Methodology for Creating AI FactSheets
• Duodepth: Static Gesture Recognition Via Dual Depth Sensors
• AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
• A survey of loss functions for semantic segmentation
• Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning
• Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
• GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
• BERTology Meets Biology: Interpreting Attention in Protein Language Models
• MLPerf Inference Benchmark

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May - 2020

• End-to-End Object Detection with Transformers
• Language Models are Few-Shot Learners
• SuperGlue: Learning Feature Matching with Graph Neural Networks
• Deep Learning for Portfolio Optimisation ⭐
• A neural network walks into a lab: towards using deep nets as models for human behavior
• ParsBERT: Transformer-based Model for Persian Language Understanding
• Big Transfer (BiT): General Visual Representation Learning
• Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room
• Explainable Machine Learning in Deployment
• An Overview of Privacy in Machine Learning
• NAUTILUS: a Versatile Voice Cloning System
• COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing
• Mass Estimation of Galaxy Clusters with Deep Learning II: CMB Cluster Lensing
• Comparative Study of Machine Learning Models and BERT on SQuAD
• DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
• Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective
• Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective

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April - 2020

• Editable Neural Networks
• Combinatory Chemistry: Towards a Simple Model of Emergent Evolution
• Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review
• A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
• Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
• Poor Man's BERT: Smaller and Faster Transformer Models
• State of the Art on Neural Rendering
• DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
• GeneCAI: Genetic Evolution for Acquiring Compact AI
• MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
• Co-Robots as Care Robots
• Learning to Simulate Complex Physics with Graph Networks
• Evaluating NLP Models via Contrast Sets
• Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems
• An In-depth Walkthrough on Evolution of Neural Machine Translation
• At the Interface of Algebra and Statistics
• What Kind of Programming Language Best Suits Integrative AGI?
• Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
• STEFANN: Scene Text Editor using Font Adaptive Neural Network
• Topology of deep neural networks
• At the Interface of Algebra and Statistics
• A Comprehensive Survey on Graph Neural Networks
• Open Data Resources for Fighting COVID-19
• Weight Poisoning Attacks on Pre-trained Models
• lamBERT: Language and Action Learning Using Multimodal BERT

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March -2020

• BATS: Binary ArchitecTure Search
• Embodied Synaptic Plasticity with Online Reinforcement learning
• Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence
• NAS-Count: Counting-by-Density with Neural Architecture Search
• PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
• Memory-efficient Learning for Large-scale Computational Imaging
• A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
• Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
• Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
• An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs
• Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog
• Hyper-Parameter Optimization: A Review of Algorithms and Applications
• PANDA: A Gigapixel-level Human-centric Video Dataset
• Hierarchical Neural Architecture Search for Single Image Super-Resolution
• Meta-learning curiosity algorithms
• Benchmarking TinyML Systems: Challenges and Direction
• LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
• ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
• AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
• MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality
• Towards a Human-like Open-Domain Chatbot
• A Survey on The Expressive Power of Graph Neural Networks
• Recent Advances in Recurrent Neural Networks
• Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
• QnAMaker: Data to Bot in 2 Minutes
• D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
• GAN Compression: Efficient Architectures for Interactive Conditional GANs
• On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
• Frustratingly Simple Few-Shot Object Detection
• Learning Meta Face Recognition in Unseen Domains
• 1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation
• Real Time Detection of Small Objects
• Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients
• Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
• Pre-trained Models for Natural Language Processing: A Survey ⭐
• OpenGAN: Open Set Generative Adversarial Networks
• TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
• A Novel Online Action Detection Framework from Untrimmed Video Streams
• iNALU: Improved Neural Arithmetic Logic Unit
• Building a COVID-19 Vulnerability Index
• Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
• Watching the World Go By: Representation Learning from Unlabeled Videos
• Overview of the TREC 2019 deep learning track
• Recent Advances and Challenges in Task-oriented Dialog System
• RSVQA: Visual Question Answering for Remote Sensing Data
• Anomalous Instance Detection in Deep Learning: A Survey
• A Survey on Contextual Embeddings
• Are Labels Necessary for Neural Architecture Search?
• Corella: A Private Multi Server Learning Approach based on Correlated Queries
• Π− nets: Deep Polynomial Neural Networks
• Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
• Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol
• Milking CowMask for Semi-Supervised Image Classification
• Accelerated Analog Neuromorphic Computing ⭐
• DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
• BayesFlow: Learning complex stochastic models with invertible neural networks
• Accelerating CNN Training by Pruning Activation Gradients
• Towards Making the Most of BERT in Neural Machine Translation
• P ≈ NP, at least in Visual Question Answering ⭐
• Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks
• Neural Architecture Search in Embedding Space
• On-the-Fly Adaptation of Source Code Models using Meta-Learning
• A Survey of Deep Learning for Scientific Discovery ⭐
• When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks ⭐
• Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework ⭐
• Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
• Pipelined Backpropagation at Scale: Training Large Models without Batches ⭐
• iTAML: An Incremental Task-Agnostic Meta-learning Approach
• VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
• COVID-19 Image Data Collection
• Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
• BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
• PaRoT: A Practical Framework for Robust Deep Neural Network Training
• Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
• BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
• A Survey of Methods for Low-Power Deep Learning and Computer Vision
• SOLOv2: Dynamic, Faster and Stronger
• Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
• Mapping the Landscape of Artificial Intelligence Applications against COVID-19
• Knowledge Graphs
• Attention Models in Graphs: A Survey
• Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol
• A Survey on The Expressive Power of Graph Neural Networks
• Once-for-All: Train One Network and Specialize it for Efficient Deployment on Diverse Hardware Platforms
• Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
• SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
• DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
• Memory Enhanced Global-Local Aggregation for Video Object Detection
• DHP: Differentiable Meta Pruning via HyperNetworks
• G3AN: Disentangling Appearance and Motion for Video Generation
• Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model
• TResNet: High Performance GPU-Dedicated Architecture
• Bundle Adjustment on a Graph Processor
• Speech2Action: Cross-modal Supervision for Action Recognition
• European Language Grid: An Overview
• A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service
• Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO
• End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
• Optimizing Geometry Compression using Quantum Annealing
• Scalability in Perception for Autonomous Driving: Waymo Open Dataset
• Can AI help in screening Viral and COVID-19 pneumonia?
• State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication ⭐
• word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data
• TensorFlow Quantum: A Software Framework for Quantum Machine Learning
• SpeechBERT: Cross-Modal Pre-trained Language Model for End-to-end Spoken Question Answering
• TResNet: High Performance GPU-Dedicated Architecture
• Speech2Action: Cross-modal Supervision for Action Recognition
• CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
• Background Matting: The World is Your Green Screen
• Automatic Curriculum Learning For Deep RL: A Short Survey
• AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ⭐
• Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks ⭐
• Agent57: Outperforming the Atari Human Benchmark
• On the Measure of Intelligence ⭐

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Feb -2020

• The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence ⭐
• Proving the Lottery Ticket Hypothesis: Pruning is All You Need ⭐
• FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations
• Replacing Mobile Camera ISP with a Single Deep Learning Model
• Up to two billion times acceleration of scientific simulations with deep neural architecture search ⭐
• Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
• HuggingFace's Transformers: State-of-the-art Natural Language Processing
• Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
• Dota 2 with Large Scale Deep Reinforcement Learning
• BAS: An Answer Selection Method Using BERT Language Model
• A deep-learning view of chemical space designed to facilitate drug discovery
• Learning to Switch Between Machines and Humans
• BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
• Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
• Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
• The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities ⭐
• Graph Deconvolutional Generation
• On State Variables, Bandit Problems and POMDPs
• Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
• Visual search over billions of aerial and satellite images
• Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
• CodeBERT: A Pre-Trained Model for Programming and Natural Languages
• Incorporating BERT into Neural Machine Translation
• Up to two billion times acceleration of scientific simulations with deep neural architecture search
• CNN 101: Interactive Visual Learning for Convolutional Neural Networks
• fastai: A Layered API for Deep Learning
• MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
• Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration
• Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
• Kalman meets Bellman: Improving Policy Evaluation through Value Tracking
• STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage
• On Adaptive Attacks to Adversarial Example Defenses
• Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
• MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
• XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs
• Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
• MLQA: Evaluating Cross-lingual Extractive Question Answering
• The DIDI dataset: Digital Ink Diagram data
• A Novel Framework for Selection of GANs for an Application
• GANs May Have No Nash Equilibria
• SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation
• Affinity and Diversity: Quantifying Mechanisms of Data Augmentation
• Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
• MaxUp: A Simple Way to Improve Generalization of Neural Network Training
• Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
• MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis
• Gradient Boosting Neural Networks: GrowNet
• Machine Learning Testing: Survey, Landscapes and Horizons
• MLIR: A Compiler Infrastructure for the End of Moore's Law
• Graph4Code: A Machine Interpretable Knowledge Graph for Code
• The Emerging Landscape of Explainable AI Planning and Decision Making
• Freeze Discriminator: A Simple Baseline for Fine-tuning GANs
• Turning 30: New Ideas in Inductive Logic Programming
• MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
• Differentiable Reasoning over a Virtual Knowledge Base
• Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
• BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations
• Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking

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Survey

• Deep Domain Adaptive Object Detection: a Survey
• A Survey of Deep Learning Techniques for Autonomous Driving
• Deep Learning for Visual Tracking: A Comprehensive Survey
• Survey on Deep Neural Networks in Speech and Vision Systems
• Biometric Recognition Using Deep Learning: A Survey
• Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
• Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification
• Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics
• Ocular Recognition Databases and Competitions: A Survey
• Online Fair Division: A Survey
• A survey on intrinsic motivation in reinforcement learning
• Deep Learning in Video Multi-Object Tracking: A Survey
• On the computation of counterfactual explanations -- A survey
• A Survey on Why-Type Question Answering Systems
• Deep Learning on Graphs: A Survey ⭐
• The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
• Understanding racial bias in health using the Medical Expenditure Panel Survey data
• A Survey of Deep Facial Attribute Analysis
• A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers
• Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
• A Survey of the Recent Architectures of Deep Convolutional Neural Networks
• Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
• Deep Learning for Image Super-resolution: A Survey
• A Survey of Unsupervised Deep Domain Adaptation
• A Survey on Causal Inference
• A Survey on Graph Kernels
• A Survey on Knowledge Graphs: Representation, Acquisition and Applications
• Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
• Machine Learning at the Network Edge: A Survey
• Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
• EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
• Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey
• Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process
• Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey
• Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
• Machine Learning for Network Slicing Resource Management: A Comprehensive Survey
• Deep Learning in Medical Image Registration: A Survey
• Implementations in Machine Ethics: A Survey
• Salient Object Detection in the Deep Learning Era: An In-Depth Survey
• A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
• Image Segmentation Using Deep Learning: A Survey
• A Survey on Traffic Signal Control Methods
• Fairness in Learning-Based Sequential Decision Algorithms: A Survey
• Deep Audio-Visual Learning: A Survey
• Extraction and Analysis of Fictional Character Networks: A Survey
• Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
• A Comprehensive Survey on the Ambulance Routing and Location Problems
• Deep Learning for Free-Hand Sketch: A Survey
• Benchmark and Survey of Automated Machine Learning Frameworks
• A Comprehensive Survey of Multilingual Neural Machine Translation
• Neural Abstractive Text Summarization with Sequence-to-Sequence Models: A Survey
• A Survey on Machine Reading Comprehension Systems
• A Brief Survey of Multilingual Neural Machine Translation
• Towards a Robust Deep Neural Network in Texts: A Survey
• Explainable Recommendation: A Survey and New Perspectives
• DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
• Deep neural network models for computational histopathology: A survey
• A Survey of Deep Reinforcement Learning in Video Games
• Analysis of the hands in egocentric vision: A survey
• A Survey of Deep Learning Applications to Autonomous Vehicle Control
• Machine Learning Testing: Survey, Landscapes and Horizons
• A Survey of the Usages of Deep Learning in Natural Language Processing
• A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
• Community detection in node-attributed social networks: a survey
• A literature survey of matrix methods for data science
• Human Motion Trajectory Prediction: A Survey
• A Comprehensive Survey on Transfer Learning
• A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
• Taking Human out of Learning Applications: A Survey on Automated Machine Learning
• A Survey of Predictive Maintenance: Systems, Purposes and Approaches
• Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
• Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
• A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks
• A survey on policy search algorithms for learning robot controllers in a handful of trials
• A Comprehensive Survey on Graph Neural Networks
• A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
• Learning Bayesian networks from demographic and health survey data
• A Survey of Deep Learning Techniques for Neural Machine Translation
• Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
• Graphcore C2 Card performance for image-based deep learning application: A Report
• Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
• CausalML: Python Package for Causal Machine Learning
• Deep Gated Networks: A framework to understand training and generalisation in deep learning
• MLPerf Training Benchmark
• Loss Functions, Axioms, and Peer Review
• Meta-Graph: Few Shot Link Prediction via Meta Learning
• Turning 30: New Ideas in Inductive Logic Programming
• GOGGLES: Automatic Training Data Generation with Affinity Coding
• Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
• Streaming Variational Monte Carlo
• A Hierarchy of Limitations in Machine Learning
• AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
• UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
• TherML: Thermodynamics of Machine Learning
• Learning in the Frequency Domain
• Time Series Data Augmentation for Deep Learning: A Survey
• A Primer in BERTology: What we know about how BERT works
• Detecting Potential Topics In News Using BERT, CRF and Wikipedia
• Predicting Neural Network Accuracy from Weights
• SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
• Multi-Task Multicriteria Hyperparameter Optimization
• Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches
• TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
• MNN: A Universal and Efficient Inference Engine
• Optimizing Memory-Access Patterns for Deep Learning Accelerators

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Tools

• Towards a Human-like Open-Domain Chatbot
• Asymptotic Bayesian Generalization Error in Topic Model and Stochastic Matrix Factorization
• ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
• Facial Landmark Detection for Manga Images
• Reformer: The Efficient Transformer
• Extraction and Analysis of Fictional Character Networks: A Survey
• Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting
• Systematic Review of Approaches to Improve Peer Assessment at Scale
• ManiGAN: Text-Guided Image Manipulation
• Sideways: Depth-Parallel Training of Video Models
• A Survey of Reinforcement Learning Informed by Natural Language
• Multi-label Prediction in Time Series Data using Deep Neural Networks
• CvxNets: Learnable Convex Decomposition
• Energy and Policy Considerations for Deep Learning in NLP
• Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
• Machine Unlearning
• Causality matters in medical imaging
• f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
• A Gentle Introduction to Deep Learning for Graphs
• FsNet: Feature Selection Network on High-dimensional Biological Data
• Unsupervised Program Synthesis for Images using Tree-Structured LSTM
• BERTje: A Dutch BERT Model
• Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method
• Towards Open-Set Semantic Segmentation of Aerial Images
• Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
• A quantum dynamic belief decision making model
• Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
• CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
• When Will AI Exceed Human Performance? Evidence from AI Experts
• Canadian Adverse Driving Conditions Dataset
• Leveraging Schema Labels to Enhance Dataset Search
• ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
• A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators
• A Proof of Useful Work for Artificial Intelligence on the Blockchain
• Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
• Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning
• SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation
• Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook

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Transfer learning - Aug 2019 - Jan 2020

• Transfer Learning using Neural Ordinary Differential Equations
• Heterogeneous Transfer Learning in Ensemble Clustering
• Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
• Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
• Exploring Benefits of Transfer Learning in Neural Machine Translation
• Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
• Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images
• Universal Successor Features for Transfer Reinforcement Learning
• Quantifying the Performance of Federated Transfer Learning
• Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study
• mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines
• Image Analytics for Legal Document Review: A Transfer Learning Approach
• A Transfer Learning Approach for Network Intrusion Detection
• Research Frontiers in Transfer Learning -- a systematic and bibliometric review ⭐
• Transfer learning in hybrid classical-quantum neural networks
• A Comprehensive Survey on Transfer Learning
• NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution
• Unsupervised Transfer Learning via BERT Neuron Selection
• AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
• 300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning
• Data Augmentation for Deep Transfer Learning
• Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
• Transfer Learning in Visual and Relational Reasoning
• Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning
• Graph Few-shot Learning via Knowledge Transfer
• A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
• Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
• Transfer Learning Toolkit: Primers and Benchmarks
• Inspect Transfer Learning Architecture with Dilated Convolution
• Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
• Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
• Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
• Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
• Localization of Fake News Detection via Multitask Transfer Learning
• A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
• Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
• Understanding Social Networks using Transfer Learning
• Federated Transfer Reinforcement Learning for Autonomous Driving
• Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning
• Deep Transfer Learning for Source Code Modeling
• MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
• Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
• Transfer Learning across Languages from Someone Else's NMT Model
• Transfer Learning with Dynamic Adversarial Adaptation Network
• Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?
• Generalization in Transfer Learning
• Learning to Transfer Learn
• P2L: Predicting Transfer Learning for Images and Semantic Relations
• Transfer in Deep Reinforcement Learning using Knowledge Graphs
• Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

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RNN - Aug 2019 - Jan 2020

• Wave Physics as an Analog Recurrent Neural Network
• Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction
• PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
• Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
• Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints
• On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network
• A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
• Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction
• Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation
• Recurrent Embedding Aggregation Network for Video Face Recognition

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CNN - Aug 2019 - Jan 2020

• CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
• Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
• Powerset Convolutional Neural Networks
• Pruning Convolutional Neural Networks with Self-Supervision
• Inferring Convolutional Neural Networks' accuracies from their architectural characterizations ⭐
• CNN 101: Interactive Visual Learning for Convolutional Neural Networks
• A Survey of the Recent Architectures of Deep Convolutional Neural Networks
• TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
• diffGrad: An Optimization Method for Convolutional Neural Networks
• Convolutional Neural Networks: A Binocular Vision Perspective
• A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks
• Object Detection with Convolutional Neural Networks
• Using Fully Convolutional Neural Networks to detect manipulated images in videos
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
• Technical report: supervised training of convolutional spiking neural networks with PyTorch ⭐
• Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
• Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks
• Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images
• Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
• Hyperbolic Graph Convolutional Neural Networks
• Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
• Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
• Liver segmentation and metastases detection in MR images using convolutional neural networks
• Training convolutional neural networks with cheap convolutions and online distillation
• Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks ⭐
• GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm
• Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
• Deep Convolutional Spiking Neural Networks for Image Classification
• The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery
• Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
• Convolutional neural networks: a magic bullet for gravitational-wave detection?
• ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
• Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
• Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
• Universal Pooling -- A New Pooling Method for Convolutional Neural Networks
• SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
• AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
• Neuron ranking -- an informed way to condense convolutional neural networks architecture

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