Few-Shot Learning

Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021 Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021 TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL 2021 Teaching Keyword Spotters to Spot New Keywords with Limited Examples Interspeech 2021 Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition ACML 2021 TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling ACL 2021 The Power of Scale for Parameter-Efficient Prompt Tuning EMNLP 2021 The Role of Global Labels in Few-Shot Classification and How to Infer Them NeurIPS 2021 The Sample Complexity of Meta Sparse Regression AISTATS 2021 Think Big, Teach Small: Do Language Models Distil Occam’s Razor? NeurIPS 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021 Towards Contextual Learning in Few-Shot Object Classification WACV 2021 Towards Few-shot Fact-Checking via Perplexity NAACL 2021 Towards Offensive Language Identification for Dravidian Languages EACL 2021 Towards Realistic Few-Shot Relation Extraction EMNLP 2021 Towards robust episodic meta-learning UAI 2021 Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning EACL 2021 Transductive Few-Shot Classification on the Oblique Manifold ICCV 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021 TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification EMNLP 2021 True Few-Shot Learning with Language Models NeurIPS 2021 TuringAdvice: A Generative and Dynamic Evaluation of Language Use NAACL 2021 Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning IJCAI 2021 Uniform Sampling over Episode Difficulty NeurIPS 2021 Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021