Few-Shot Learning

Few-Shot Question Answering by Pretraining Span Selection ACL 2021 Few-Shot Segmentation via Cycle-Consistent Transformer NeurIPS 2021 Few-Shot Text Generation with Natural Language Instructions EMNLP 2021 Few-Shot Transformation of Common Actions Into Time and Space CVPR 2021 FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation EMNLP 2021 FLEX: Unifying Evaluation for Few-Shot NLP NeurIPS 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 Hallucination Improves Few-Shot Object Detection CVPR 2021 Improving and Simplifying Pattern Exploiting Training EMNLP 2021 Incremental Few-Shot Instance Segmentation CVPR 2021 Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting CVPR 2021 Language Models are Few-Shot Butlers EMNLP 2021 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021 Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework EMNLP 2021 Learning Intact Features by Erasing-Inpainting for Few-shot Classification AAAI 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data CVPR 2021 `Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021 Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts ICCV 2021 Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021