Few-Shot Learning

LSTM Self-Supervision for Detailed Behavior Analysis CVPR 2017 Meta Networks ICML 2017 Neural Program Meta-Induction NeurIPS 2017 One-Shot Imitation Learning NeurIPS 2017 One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017 Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017 Prototypical Networks for Few-shot Learning NeurIPS 2017 Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017 Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems NeurIPS 2017 Variational Memory Addressing in Generative Models NeurIPS 2017 Associative Long Short-Term Memory ICML 2016 Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion Interspeech 2016 Latent Attention For If-Then Program Synthesis NeurIPS 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 One-Shot Generalization in Deep Generative Models ICML 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 NeurIPS 2014 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Fingerspelling Recognition with Semi-Markov Conditional Random Fields ICCV 2013 One-shot learning and big data with n=2 NeurIPS 2013