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Few-Shot Learning

1,837 papers

Papers per year

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Papers

Fast Parametric Learning with Activation Memorization ICML 2018
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples IJCAI 2018
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Learning to Model the Tail NIPS 2017
Few-Shot Adversarial Domain Adaptation NIPS 2017
Neural Program Meta-Induction NIPS 2017
Max-Margin Invariant Features from Transformed Unlabelled Data NIPS 2017
Prototypical Networks for Few-shot Learning NIPS 2017
One-Shot Visual Imitation Learning via Meta-Learning CORL 2017
Learning Partially Contracting Dynamical Systems from Demonstrations 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
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017
AGA: Attribute-Guided Augmentation CVPR 2017
High-risk learning: acquiring new word vectors from tiny data EMNLP 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017
Attentive Recurrent Comparators ICML 2017
Emotional Voice Conversion with Adaptive Scales F0 Based on Wavelet Transform Using Limited Amount of Emotional Data INTERSPEECH 2017
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NIPS 2016
Matching Networks for One Shot Learning NIPS 2016
One-Shot Learning of Scene Locations via Feature Trajectory Transfer CVPR 2016
Model Recommendation: Generating Object Detectors From Few Samples CVPR 2015
One Shot Learning via Compositions of Meaningful Patches ICCV 2015
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
Zero-shot recognition with unreliable attributes NIPS 2014