Few-Shot Learning

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 Object Detection by Attending to Per-Sample-Prototype WACV 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 Preference Learning for Human-in-the-Loop RL CoRL 2022 Few-shot Relational Reasoning via Connection Subgraph Pretraining NeurIPS 2022 Few-Shot Self-Rationalization with Natural Language Prompts NAACL 2022 Few-shot Subgoal Planning with Language Models NAACL 2022 Few-shot Table-to-text Generation with Prefix-Controlled Generator COLING 2022 Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures ACL 2022 Few-Shot Weakly-Supervised Object Detection via Directional Statistics WACV 2022 Flamingo: a Visual Language Model for Few-Shot Learning NeurIPS 2022 FLUID: Few-Shot Self-Supervised Image Deraining WACV 2022 Forward Compatible Few-Shot Class-Incremental Learning CVPR 2022 Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification IJCAI 2022 Generalized Beliefs for Cooperative AI ICML 2022 Generalized Few-Shot Semantic Segmentation CVPR 2022 Generalizing Few-Shot NAS with Gradient Matching ICLR 2022 Generating Representative Samples for Few-Shot Classification CVPR 2022 Generating Scientific Claims for Zero-Shot Scientific Fact Checking ACL 2022 Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022 Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL 2022