few-shot learning

Evaluating Weakly Supervised Object Localization Methods Right CVPR 2020 Event-Guided Denoising for Multilingual Relation Learning COLING 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020 Extensively Matching for Few-shot Learning Event Detection ACL 2020 Fast Task Inference with Variational Intrinsic Successor Features ICLR 2020 Feature Deformation Meta-Networks in Image Captioning of Novel Objects AAAI 2020 FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020 Few-Cost Salient Object Detection with Adversarial-Paced Learning NeurIPS 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Few-Shot Class-Incremental Learning CVPR 2020 Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020 Few-shot Domain Adaptation by Causal Mechanism Transfer ICML 2020 Few-shot Human Motion Prediction via Learning Novel Motion Dynamics IJCAI 2020 Few-shot Image Generation with Elastic Weight Consolidation NeurIPS 2020 Few-Shot Knowledge Graph Completion AAAI 2020 Few-Shot Learning for Opinion Summarization EMNLP 2020 Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation CVPR 2020 Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020 FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES ICLR 2020 Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020 Few-shot Natural Language Generation for Task-Oriented Dialog EMNLP 2020 Few Shot Network Compression via Cross Distillation AAAI 2020