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Meta-Learning

1524 directly classified papers

Papers per year

Papers

TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning ICML 2019
Hierarchically Structured Meta-learning ICML 2019
Learning What and Where to Transfer ICML 2019
Efficient optimization of loops and limits with randomized telescoping sums ICML 2019
Actively Seeking and Learning From Live Data CVPR 2019
Zero-Shot Task Transfer CVPR 2019
RENAS: Reinforced Evolutionary Neural Architecture Search CVPR 2019
Meta-Curvature NIPS 2019
Deep Compressed Sensing ICML 2019
Automated Model Selection with Bayesian Quadrature ICML 2019
Meta-Transfer Learning for Few-Shot Learning CVPR 2019
Instance-Level Meta Normalization CVPR 2019
Hyper-parameter Tuning under a Budget Constraint IJCAI 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy IJCAI 2019
Truncated Back-propagation for Bilevel Optimization AISTATS 2019
Few-Shot Learning With Localization in Realistic Settings CVPR 2019
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach NIPS 2019
Hyperspherical Prototype Networks NIPS 2019
Learning to Learn By Self-Critique NIPS 2019
Meta-Learning with Implicit Gradients NIPS 2019
Reconciling meta-learning and continual learning with online mixtures of tasks NIPS 2019
Self-Supervised Generalisation with Meta Auxiliary Learning NIPS 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
Neural Relational Inference with Fast Modular Meta-learning NIPS 2019
Variational Bayesian Optimal Experimental Design NIPS 2019