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Meta-Learning

1524 directly classified papers

Papers per year

Papers

PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Transfer Learning via Learning to Transfer ICML 2018
Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018
Mix & Match Agent Curricula for Reinforcement Learning ICML 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning RSS 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018
Learning Deep ResNet Blocks Sequentially using Boosting Theory ICML 2018
Synthesized Policies for Transfer and Adaptation across Tasks and Environments NIPS 2018
Meta-Gradient Reinforcement Learning NIPS 2018
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
Evolved Policy Gradients NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017
Learning to Learn Programs from Examples: Going Beyond Program Structure IJCAI 2017
Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017
Multi-Information Source Optimization NIPS 2017
Learning Algorithms for Active Learning ICML 2017
Learning to Learn From Noisy Web Videos CVPR 2017
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network INTERSPEECH 2017
Bayesian Optimization with Tree-structured Dependencies ICML 2017