Few-Shot Learning

Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021 PASS: Perturb-and-Select Summarizer for Product Reviews ACL 2021 P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021 pixelNeRF: Neural Radiance Fields From One or Few Images CVPR 2021 POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NeurIPS 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021 Progressive One-shot Human Parsing AAAI 2021 ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection EMNLP 2021 Prototype Completion With Primitive Knowledge for Few-Shot Learning CVPR 2021 Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation CVPR 2021 Rectifying the Shortcut Learning of Background for Few-Shot Learning NeurIPS 2021 Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021 Revisiting Few-sample BERT Fine-tuning ICLR 2021 Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021 Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning CVPR 2021 Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection CVPR 2021 Solving Aspect Category Sentiment Analysis as a Text Generation Task EMNLP 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021 STraTA: Self-Training with Task Augmentation for Better Few-shot Learning EMNLP 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition ACML 2021 TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling ACL 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021