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few-shot learning

3390 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL 2020
Regularization of Distinct Strategies for Unsupervised Question Generation EMNLP 2020
Learning to Forget for Meta-Learning CVPR 2020
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment EMNLP 2020
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract) AAAI 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020
Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition INTERSPEECH 2020
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network COLING 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning NIPS 2020
Gradient-EM Bayesian Meta-Learning NIPS 2020
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 2020
Emergent Communication Pretraining for Few-Shot Machine Translation COLING 2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation CVPR 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization EMNLP 2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition CVPR 2020
Information Maximization for Few-Shot Learning NIPS 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NIPS 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning NIPS 2020
Language Models are Few-Shot Learners NIPS 2020
Interventional Few-Shot Learning NIPS 2020
Structured Prediction for Conditional Meta-Learning NIPS 2020