few-shot learning

Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts ACL 2019 Hierarchically Structured Meta-learning ICML 2019 How to train your MAML ICLR 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis CVPR 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Incremental Few-Shot Learning with Attention Attractor Networks NeurIPS 2019 Induction Networks for Few-Shot Text Classification EMNLP 2019 Infinite Mixture Prototypes for Few-shot Learning ICML 2019 Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks EMNLP 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019 Large-Scale Long-Tailed Recognition in an Open World CVPR 2019 Large-Scale Multi-Label Text Classification on EU Legislation ACL 2019 LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019 Learning Classifiers for Target Domain with Limited or No Labels ICML 2019 Learning Compositional Representations for Few-Shot Recognition ICCV 2019 Learning to Find Common Objects Across Few Image Collections ICCV 2019 Learning to Generalize Kinematic Models to Novel Objects CoRL 2019 Learning to Learn By Self-Critique NeurIPS 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Learn with Conditional Class Dependencies ICLR 2019 Learning to Propagate for Graph Meta-Learning NeurIPS 2019 LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING ICLR 2019