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Meta-Learning

1,529 papers

Papers per year

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Papers

Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages NAACL 2019
Synthesized Policies for Transfer and Adaptation across Tasks and Environments NIPS 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies 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
MetaAnchor: Learning to Detect Objects with Customized Anchors NIPS 2018
Evolved Policy Gradients NIPS 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Learning to Multitask NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
Reinforced Continual Learning NIPS 2018
The Importance of Sampling inMeta-Reinforcement Learning NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Data-Efficient Hierarchical Reinforcement Learning NIPS 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport NIPS 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Continuous Learning in a Hierarchical Multiscale Neural Network ACL 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018