few-shot learning

Robust High-Dimensional Classification From Few Positive Examples IJCAI 2022 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022 Robustness of Demonstration-based Learning Under Limited Data Scenario EMNLP 2022 Scaling ASR Improves Zero and Few Shot Learning Interspeech 2022 Scaling Vision Transformers CVPR 2022 SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation ICML 2022 SEAL: Interactive Tool for Systematic Error Analysis and Labeling EMNLP 2022 Search and Learn: Improving Semantic Coverage for Data-to-Text Generation AAAI 2022 Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NeurIPS 2022 SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition COLING 2022 SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning WACV 2022 Selective Token Generation for Few-shot Natural Language Generation COLING 2022 Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation EMNLP 2022 Semantic-Aligned Fusion Transformer for One-Shot Object Detection CVPR 2022 Semantically Informed Slang Interpretation NAACL 2022 Semantic Cross Attention for Few-shot Learning ACML 2022 Semi-Supervised Few-Shot Learning via Multi-Factor Clustering CVPR 2022 Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification COLING 2022 SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models NAACL 2022 SF-DST: Few-Shot Self-Feeding Reading Comprehension Dialogue State Tracking with Auxiliary Task Interspeech 2022 Sharing Knowledge for Meta-learning with Feature Descriptions NeurIPS 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning ICML 2022 Sharpness-Aware Minimization Improves Language Model Generalization ACL 2022 Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue NAACL 2022 Simple Questions Generate Named Entity Recognition Datasets EMNLP 2022