few-shot learning

Few-Shot Incremental Learning for Label-to-Image Translation CVPR 2022 Few-shot initializing of Active Learner via Meta-Learning EMNLP 2022 Few-Shot Keypoint Detection With Uncertainty Learning for Unseen Species CVPR 2022 Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NeurIPS 2022 Few-shot Learning for Sumerian Named Entity Recognition NAACL 2022 Few-Shot Learning on Graphs IJCAI 2022 Few-shot Learning via Dirichlet Tessellation Ensemble ICLR 2022 Few-shot Learning with Multilingual Generative Language Models EMNLP 2022 Few-Shot Learning With Noisy Labels CVPR 2022 Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records MLHC 2022 Few-Shot Learning with Siamese Networks and Label Tuning ACL 2022 Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes COLING 2022 Few-shot Named Entity Recognition with Self-describing Networks ACL 2022 Few-Shot Non-Parametric Learning with Deep Latent Variable Model NeurIPS 2022 Few-Shot Object Detection With Fully Cross-Transformer CVPR 2022 Few-Shot Open-Set Recognition of Hyperspectral Images With Outlier Calibration Network WACV 2022 Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup EMNLP 2022 Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NeurIPS 2022 Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning COLING 2022 Few-Shot Preference Learning for Human-in-the-Loop RL CoRL 2022 Few-shot Query-Focused Summarization with Prefix-Merging EMNLP 2022 Few-shot Relational Reasoning via Connection Subgraph Pretraining NeurIPS 2022 Few-Shot Self-Rationalization with Natural Language Prompts NAACL 2022 Few-Shot Semantic Parsing with Language Models Trained on Code NAACL 2022 Few-shot Subgoal Planning with Language Models NAACL 2022