← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

ELFI: Engine for Likelihood-Free Inference JMLR 2018
One-Shot Action Localization by Learning Sequence Matching Network CVPR 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
EMR Coding with Semi-Parametric Multi-Head Matching Networks NAACL 2018
Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018
Gaussian Process Conditional Density Estimation NIPS 2018
Neural Voice Cloning with a Few Samples NIPS 2018
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning COLING 2018
Few-Shot Image Recognition by Predicting Parameters From Activations CVPR 2018
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game ACL 2018
Structured Set Matching Networks for One-Shot Part Labeling CVPR 2018
A General Approach to Multi-Armed Bandits Under Risk Criteria COLT 2018
Memory, Show the Way: Memory Based Few Shot Word Representation Learning EMNLP 2018
TADAM: Task dependent adaptive metric for improved few-shot learning NIPS 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning ICML 2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning NIPS 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning RSS 2018
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems NIPS 2017
Learning to Model the Tail NIPS 2017
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning ALT 2017
Meta Networks ICML 2017
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017
Prerequisite Relation Learning for Concepts in MOOCs ACL 2017