Few-Shot Learning

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020 Context-Transformer: Tackling Object Confusion for Few-Shot Detection AAAI 2020 Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines EMNLP 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020 DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data CVPR 2020 Do We Need to Create Big Datasets to Learn a Task? EMNLP 2020 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 Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources AAAI 2020 Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection ACL 2020 Extensively Matching for Few-shot Learning Event Detection ACL 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-Shot Class-Incremental Learning CVPR 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 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