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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Fast Parametric Learning with Activation Memorization ICML 2018
Low-Shot Learning With Imprinted Weights CVPR 2018
Low-Shot Learning From Imaginary Data CVPR 2018
Multi-Content GAN for Few-Shot Font Style Transfer CVPR 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces EMNLP 2018
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages EMNLP 2018
One-Shot Unsupervised Cross Domain Translation NIPS 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning CORL 2018
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Learning to Model the Tail NIPS 2017
Prototypical Networks for Few-shot Learning NIPS 2017
Few-Shot Adversarial Domain Adaptation NIPS 2017
AGA: Attribute-Guided Augmentation CVPR 2017
Attentive Recurrent Comparators ICML 2017
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017
High-risk learning: acquiring new word vectors from tiny data EMNLP 2017
One-Shot Visual Imitation Learning via Meta-Learning CORL 2017
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact CORL 2017
How Robots Learn to Classify New Objects Trained from Small Data Sets CORL 2017
Max-Margin Invariant Features from Transformed Unlabelled Data NIPS 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017
One-Shot Learning of Scene Locations via Feature Trajectory Transfer CVPR 2016
Matching Networks for One Shot Learning NIPS 2016
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NIPS 2016