Few-Shot Learning

Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021 Self-supervised Network Evolution for Few-shot Classification IJCAI 2021 Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems EMNLP 2021 Self-training Improves Pre-training for Natural Language Understanding NAACL 2021 Self-training with Few-shot Rationalization EMNLP 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 Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021 Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer ICCV 2021 SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 Stochastic Whitening Batch Normalization CVPR 2021 Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces ICCV 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 Teaching Keyword Spotters to Spot New Keywords with Limited Examples Interspeech 2021 Temporal-Relational CrossTransformers for Few-Shot Action Recognition CVPR 2021 The Functional Correspondence Problem ICCV 2021 Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages EMNLP 2021 Think Big, Teach Small: Do Language Models Distil Occam’s Razor? NeurIPS 2021 Towards Fair Cross-Domain Adaptation via Generative Learning WACV 2021 Towards more equitable question answering systems: How much more data do you need? ACL 2021 Towards Realistic Few-Shot Relation Extraction EMNLP 2021 Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems EMNLP 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021