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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Large-Scale Multi-Label Text Classification on EU Legislation ACL 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts ACL 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019
Learning to Learn By Self-Critique NIPS 2019
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019
Few-Shot Audio Classification with Attentional Graph Neural Networks INTERSPEECH 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019
Meta-Learning With Differentiable Convex Optimization CVPR 2019
Learning to Learn Image Classifiers With Visual Analogy CVPR 2019
Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019
Image Block Augmentation for One-Shot Learning AAAI 2019
Efficient Meta Learning via Minibatch Proximal Update NIPS 2019
Few-Shot and Zero-Shot Learning for Historical Text Normalization EMNLP 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019
Few-shot Generative Modelling with Generative Matching Networks AISTATS 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning CORL 2018
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology COLING 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Learning Deep Disentangled Embeddings With the F-Statistic Loss NIPS 2018