[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation
Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020
[ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
Black-box Few-shot Knowledge Distillation
[ICASSP-2022] Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
CNN based Siamese network for similarity detection. A toy database is used to demonstrate its functionality.
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
The code for "Efficient-PrototypicalNet with self knowledge distillation for few-shot learning"
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