few-shot learning

Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020 Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020 Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 2020 Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training COLING 2020 Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NeurIPS 2020 Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020 Learning to Forget for Meta-Learning CVPR 2020 Learning to learn generative programs with Memoised Wake-Sleep UAI 2020 Learning to Learn Kernels with Variational Random Features ICML 2020 Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020 Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020 Learning to Learn Variational Semantic Memory NeurIPS 2020 Learning to Segment the Tail CVPR 2020 Learning to Select Base Classes for Few-Shot Classification CVPR 2020 Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation EMNLP 2020 Logic2Text: High-Fidelity Natural Language Generation from Logical Forms EMNLP 2020 ManyEnt: A Dataset for Few-shot Entity Typing COLING 2020 MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets AAAI 2020 MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NeurIPS 2020 MELD: Meta-Reinforcement Learning from Images via Latent State Models CoRL 2020 Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples ICLR 2020 Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020 MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation CVPR 2020 Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020 MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment CVPR 2020