Few-Shot Learning

MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020 Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020 Meta-Learning for Few-Shot NMT Adaptation ACL 2020 Meta-learning for Mixed Linear Regression ICML 2020 Meta-learning from Tasks with Heterogeneous Attribute Spaces NeurIPS 2020 Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020 METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020 Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition IJCAI 2020 Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract) AAAI 2020 Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020 Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis EMNLP 2020 Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs EMNLP 2020 Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering ACL 2020 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NeurIPS 2020 One-Shot Learning for Long-Tail Visual Relation Detection AAAI 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 2020 On the Role of Supervision in Unsupervised Constituency Parsing EMNLP 2020 OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification NeurIPS 2020 PeTra: A Sparsely Supervised Memory Model for People Tracking ACL 2020 Planning to Explore via Self-Supervised World Models ICML 2020 ProtoAttend: Attention-Based Prototypical Learning JMLR 2020 Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Interspeech 2020 Provably Efficient Third-Person Imitation from Offline Observation UAI 2020 Proxy Network for Few Shot Learning ACML 2020 PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020