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Few-Shot Learning

2,562 papers

Papers per year

3
167
401
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Papers

Variational Memory Addressing in Generative Models NIPS 2017
Neural Program Meta-Induction NIPS 2017
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems NIPS 2017
Adaptive Active Hypothesis Testing under Limited Information NIPS 2017
One-Shot Imitation Learning NIPS 2017
Prototypical Networks for Few-shot Learning NIPS 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition CORL 2017
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017
Learning attention for historical text normalization by learning to pronounce ACL 2017
Prerequisite Relation Learning for Concepts in MOOCs ACL 2017
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017
Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning ALT 2017
LSTM Self-Supervision for Detailed Behavior Analysis CVPR 2017
Learning Algorithms for Active Learning ICML 2017
Meta Networks ICML 2017
Attentive Recurrent Comparators ICML 2017
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NIPS 2016
Latent Attention For If-Then Program Synthesis NIPS 2016
Matching Networks for One Shot Learning NIPS 2016
One-Shot Generalization in Deep Generative Models ICML 2016
Associative Long Short-Term Memory ICML 2016
Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion INTERSPEECH 2016
Pose Induction for Novel Object Categories ICCV 2015
Learning Like a Child: Fast Novel Visual Concept Learning From Sentence Descriptions of Images ICCV 2015