v1v2 (latest)

Learning to Optimize Neural Nets

1 March 2017

Papers citing "Learning to Optimize Neural Nets"

22 / 72 papers shown

Title
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables Lantao Yu Tianhe Yu Chelsea Finn Stefano Ermon OffRL BDL 66 72 0 20 Sep 2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization Tomaso Fontanini Eleonora Iotti Andrea Prati GAN 70 4 0 17 Sep 2019
Instruction-Level Design of Local Optimisers using Push GP M. Lones 68 11 0 24 May 2019
Neuro-Optimization: Learning Objective Functions Using Neural Networks Younghan Jeon Minsik Lee J. Choi 50 1 0 24 May 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 118 85 0 04 Apr 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 157 1,409 0 15 Nov 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 129 266 0 25 Oct 2018
Understanding and correcting pathologies in the training of learned optimizers Luke Metz Niru Maheswaranathan Jeremy Nixon C. Freeman Jascha Narain Sohl-Dickstein ODL 121 149 0 24 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 123 761 0 08 Oct 2018
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games Zhengxing Chen Chris Amato Truong-Huy D. Nguyen Seth Cooper Yizhou Sun M. S. El-Nasr BDL 61 40 0 26 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification Xiang Jiang Mohammad Havaei Gabriel Chartrand Hassan Chouaib Thomas Vincent Andrew Jesson Nicolas Chapados Stan Matwin VLM 38 18 0 03 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 128 65 0 31 May 2018
Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training Boyu Chen Wenlian Lu Ernest Fokoue 52 1 0 22 May 2018
Neural Conditional Gradients P. Schramowski Christian Bauckhage Kristian Kersting 62 2 0 12 Mar 2018
Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang Chenglong Wang Rishabh Singh Wen-tau Yih Xiaodong He 102 123 0 02 Mar 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 107 510 0 26 Jan 2018
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces Louis Faury Flavian Vasile 37 2 0 22 Jan 2018
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm Chelsea Finn Sergey Levine SSL 144 223 0 31 Oct 2017
Neural Optimizer Search with Reinforcement Learning Irwan Bello Barret Zoph Vijay Vasudevan Quoc V. Le ODL 92 387 0 21 Sep 2017
Meta-Learning MCMC Proposals Tongzhou Wang Yi Wu David A. Moore Stuart J. Russell BDL 93 2 0 21 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 277 5,623 0 21 Jul 2017