Few-Shot Learning

DPGN: Distribution Propagation Graph Network for Few-Shot Learning CVPR 2020 Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020 Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020 Effective Few-Shot Classification with Transfer Learning COLING 2020 Efficient Intent Detection with Dual Sentence Encoders ACL 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Emergent Communication Pretraining for Few-Shot Machine Translation COLING 2020 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients ICLR 2020 Exploring the zero-shot limit of FewRel COLING 2020 Extensively Matching for Few-shot Learning Event Detection ACL 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 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 Human Motion Prediction via Learning Novel Motion Dynamics IJCAI 2020 Few-shot Image Generation with Elastic Weight Consolidation NeurIPS 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 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