Scaling Down Deep Learning with MNIST-1D

29 November 2020

Papers citing "Scaling Down Deep Learning with MNIST-1D"

15 / 15 papers shown

Title
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks Jonathan Peters Philippe Talatchian 53 0 0 28 Mar 2025
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning Florian Bordes Randall Balestriero Q. Garrido Adrien Bardes Pascal Vincent 77 22 0 27 Jun 2022
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search Aditya Rawal Joel Lehman F. Such Jeff Clune Kenneth O. Stanley AI4CE 25 6 0 27 May 2020
The Cost of Training NLP Models: A Concise Overview Or Sharir Barak Peleg Y. Shoham 68 210 0 19 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 194 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 194 18,523 0 13 Feb 2020
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 51 796 0 10 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers Ari S. Morcos Haonan Yu Michela Paganini Yuandong Tian 39 228 0 06 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 48 2,633 0 05 Jun 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 168 1,628 0 28 Dec 2018
Measuring the Intrinsic Dimension of Objective Landscapes Chunyuan Li Heerad Farkhoor Rosanne Liu J. Yosinski 66 407 0 24 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 157 8,807 0 25 Aug 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 262 4,612 0 10 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 165 941 0 11 Feb 2015