Papers citing 'Gathering and Exploiting Higher-Order Information when Training Large Structured Models'

Title
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 370 1,474 0 03 Oct 2020
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 261 1,523 0 01 May 2019
Are All Layers Created Equal? Chiyuan Zhang Samy Bengio Y. Singer 198 147 0 06 Feb 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 559 3,359 0 20 Jun 2018
Block Mean Approximation for Efficient Second Order Optimization Yao Lu Mehrtash Harandi Leonid Sigal Razvan Pascanu ODL 77 4 0 16 Apr 2018
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks Levent Sagun Utku Evci V. U. Güney Yann N. Dauphin Léon Bottou 191 423 0 14 Jun 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 257 792 0 15 Mar 2017
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 411 5,644 0 23 Nov 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 400 1,064 0 19 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 2.5K 102,452 0 04 Sep 2014
Riemannian metrics for neural networks I: feedforward networks Yann Ollivier 243 105 0 04 Mar 2013