Learning to Optimize with Dynamic Mode Decomposition

29 November 2022

Papers citing "Learning to Optimize with Dynamic Mode Decomposition"

8 / 8 papers shown

Title
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 57 52 0 18 Oct 2020
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves Luke Metz Niru Maheswaranathan C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 114 62 0 23 Sep 2020
Applications of Koopman Mode Analysis to Neural Networks Iva Manojlovic M. Fonoberova Ryan Mohr Aleksandr Andrejcuk Z. Drmač Yannis G. Kevrekidis Igor Mezić 44 18 0 21 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 316 1,950 0 11 Apr 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 201 8,807 0 25 Aug 2017
Learned Optimizers that Scale and Generalize Olga Wichrowska Niru Maheswaranathan Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Nando de Freitas Jascha Narain Sohl-Dickstein AI4CE 52 284 0 14 Mar 2017
Learning Gradient Descent: Better Generalization and Longer Horizons Kaifeng Lyu Shunhua Jiang Jian Li 59 114 0 10 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 92 2,000 0 14 Jun 2016