Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Training Learned Optimizers with Randomly Initialized Learned Optimizers

Jan 14, 2021
Luke Metz, C. Daniel Freeman, Niru Maheswaranathan, Jascha Sohl-Dickstein


  Access Paper or Ask Questions

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves

Sep 23, 2020
Luke Metz, Niru Maheswaranathan, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein


  Access Paper or Ask Questions

Using a thousand optimization tasks to learn hyperparameter search strategies

Mar 11, 2020
Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein


  Access Paper or Ask Questions

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Oct 31, 2019
C. Daniel Freeman, Luke Metz, David Ha

* To appear at the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) 

  Access Paper or Ask Questions

Learned optimizers that outperform SGD on wall-clock and test loss

Oct 26, 2018
Luke Metz, Niru Maheswaranathan, Jeremy Nixon, C. Daniel Freeman, Jascha Sohl-Dickstein


  Access Paper or Ask Questions

Topology and Geometry of Half-Rectified Network Optimization

Jun 01, 2017
C. Daniel Freeman, Joan Bruna

* 22 Pages (10 main + Appendices), 4 Figures, 1 Table, Published as a conference paper at ICLR 2017 

  Access Paper or Ask Questions