Learning to Learn: Meta-Learning and Model Selection

Model Selection / Network Architecture Adaptation

Renato Negrinho, Geoff GordonDeepArchitect: Automatically Designing and Training Deep Architectures

Bowen Baker et al, Designing Neural Network Architectures using Reinforcement Learning

Barret Zoph, Quoc Le. Neural Architecture Search with Reinforcement Learning

Zelda Mariet, Suvrit Sra, Diversity Networks, ICLR 2016

George Philipp, Jaime G. Carbonell. Nonparametric Neural Networks

Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurelie Lozano. Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World

Neurogenesis Deep Learning,  Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. AimoneICLR-16 version

Learning to Learn

Ke Li, Jitendra Malik Learning to Optimize

Jane X Wang et al. Learning to reinforcement learn



Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

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