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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

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition NIPS 2019
Large-Scale Long-Tailed Recognition in an Open World CVPR 2019
Meta-Curvature NIPS 2019
Learning to Propagate for Graph Meta-Learning NIPS 2019
Deep Metric Learning to Rank CVPR 2019
Image Deformation Meta-Networks for One-Shot Learning CVPR 2019
Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion EMNLP 2019
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019
Induction Networks for Few-Shot Text Classification EMNLP 2019
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
Cross Attention Network for Few-shot Classification NIPS 2019
Learning to Learn By Self-Critique NIPS 2019
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis CVPR 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019
Incremental Few-Shot Learning with Attention Attractor Networks NIPS 2019
Reconciling meta-learning and continual learning with online mixtures of tasks NIPS 2019
Matching the Blanks: Distributional Similarity for Relation Learning ACL 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019