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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Learning attention for historical text normalization by learning to pronounce ACL 2017
Few-Shot Adversarial Domain Adaptation NIPS 2017
Neural Program Meta-Induction NIPS 2017
Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017
Adaptive Active Hypothesis Testing under Limited Information NIPS 2017
LSTM Self-Supervision for Detailed Behavior Analysis CVPR 2017
Prototypical Networks for Few-shot Learning NIPS 2017
Variational Memory Addressing in Generative Models NIPS 2017
One-Shot Imitation Learning NIPS 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition CORL 2017
Learning Algorithms for Active Learning ICML 2017
Attentive Recurrent Comparators ICML 2017
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017
Associative Long Short-Term Memory ICML 2016
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NIPS 2016
One-Shot Generalization in Deep Generative Models ICML 2016
Matching Networks for One Shot Learning NIPS 2016
Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion INTERSPEECH 2016
Latent Attention For If-Then Program Synthesis NIPS 2016
Bayesian Multiple Target Localization ICML 2015
Learning Like a Child: Fast Novel Visual Concept Learning From Sentence Descriptions of Images ICCV 2015
Pose Induction for Novel Object Categories ICCV 2015
Active Reward Learning RSS 2014
Zero-shot recognition with unreliable attributes NIPS 2014
One-shot learning by inverting a compositional causal process NIPS 2013