Understanding Generalization in Deep Learning via Tensor Methods

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Understanding Generalization in Deep Learning via Tensor Methods

14 January 2020

Furong Huang

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Papers citing "Understanding Generalization in Deep Learning via Tensor Methods"

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Title
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation A. Marcianò De-Wei Chen Filippo Fabrocini C. Fields M. Lulli Emanuele Zappala GNN 34 5 0 25 Oct 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 92 49 0 09 Mar 2022
On generalization bounds for deep networks based on loss surface implicit regularization Masaaki Imaizumi Johannes Schmidt-Hieber ODL 68 3 0 12 Jan 2022
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar Stefanos Zafeiriou 62 126 0 07 Jul 2021
Implicit Regularization in Tensor Factorization Noam Razin Asaf Maman Nadav Cohen 75 49 0 19 Feb 2021
Scaling Up Exact Neural Network Compression by ReLU Stability Thiago Serra Xin Yu Abhinav Kumar Srikumar Ramalingam 66 24 0 15 Feb 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 101 19 0 23 Dec 2020
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning S. Choudhury Ankan Dutta Debisree Ray 58 21 0 16 Nov 2020
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets Roozbeh Yousefzadeh Furong Huang 51 6 0 17 Jun 2020