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Meta-Learning

973 papers

Papers per year

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Papers

LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019
Feature-Critic Networks for Heterogeneous Domain Generalization ICML 2019
Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? IJCAI 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks IJCNLP 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations IJCNLP 2019
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL 2019
Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection SEMEVAL 2019
Data-Driven Clustering via Parameterized Lloyd's Families NIPS 2018
Meta-Gradient Reinforcement Learning NIPS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
MetaGAN: An Adversarial Approach to Few-Shot Learning NIPS 2018
Meta-Learning MCMC Proposals NIPS 2018
MetaReg: Towards Domain Generalization using Meta-Regularization NIPS 2018
Benefits of over-parameterization with EM NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Parsimonious Bayesian deep networks NIPS 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning CORL 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018