Few-Shot Learning

Few-Shot Novel Concept Learning for Semantic Parsing EMNLP 2021 Few-Shot One-Class Classification via Meta-Learning AAAI 2021 Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021 Few-Shot Partial-Label Learning IJCAI 2021 FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models EMNLP 2021 Few-Shot Question Answering by Pretraining Span Selection ACL 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 Few-Shot Semantic Parsing for New Predicates EACL 2021 Few-Shot Semantic Segmentation With Cyclic Memory Network ICCV 2021 Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning NAACL 2021 Few-Shot Text Generation with Natural Language Instructions EMNLP 2021 FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary EACL 2021 Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021 Fisher Auto-Encoders AISTATS 2021 FLEX: Unifying Evaluation for Few-Shot NLP NeurIPS 2021 FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction AAAI 2021 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing EMNLP 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 Grounded Language Learning Fast and Slow ICLR 2021 Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting ACL 2021