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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding EMNLP 2022
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer EMNLP 2022
Memorisation versus Generalisation in Pre-trained Language Models ACL 2022
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction ACL 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity ACL 2022
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing ACL 2022
Few-Shot Learning with Siamese Networks and Label Tuning ACL 2022
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning ACL 2022
Rethinking Generalization in Few-Shot Classification NIPS 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid NIPS 2022
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters ACL 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts ACL 2022
Meta-Learning for Multi-Label Few-Shot Classification WACV 2022
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning EMNLP 2022
Few-Shot Cross-Lingual Learning for Event Detection EMNLP 2022
Few-shot initializing of Active Learner via Meta-Learning EMNLP 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022
Distributionally robust weighted k-nearest neighbors NIPS 2022
Constrained Few-Shot Class-Incremental Learning CVPR 2022
Sharing Knowledge for Meta-learning with Feature Descriptions NIPS 2022
Few-Shot Continual Active Learning by a Robot NIPS 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds NIPS 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection ACL 2022
PAC Prediction Sets for Meta-Learning NIPS 2022