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2001.05070
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Understanding Generalization in Deep Learning via Tensor Methods
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
14 January 2020
Jingling Li
Yanchao Sun
Jiahao Su
Taiji Suzuki
Furong Huang
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Papers citing
"Understanding Generalization in Deep Learning via Tensor Methods"
17 / 17 papers shown
Low-Rank Tensor Decompositions for the Theory of Neural Networks
Ricardo Augusto Borsoi
K. Usevich
Marianne Clausel
159
2
0
25 Aug 2025
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
IEEE International Conference on Computer Vision (ICCV), 2023
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
380
9
0
11 Oct 2023
Size Lowerbounds for Deep Operator Networks
Anirbit Mukherjee
Amartya Roy
AI4CE
428
6
0
11 Aug 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
Neural Information Processing Systems (NeurIPS), 2023
Yotam Alexander
Nimrod De La Vega
Noam Razin
Nadav Cohen
454
6
0
20 Mar 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Andong Wang
Chong Li
Mingyuan Bai
Zhong Jin
Guoxu Zhou
Qianchuan Zhao
OOD
AAML
423
10
0
01 Mar 2023
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
225
6
0
25 Oct 2022
Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network
Chenyin Gao
Shu Yang
Anru R. Zhang
79
0
0
26 Sep 2022
Tensor Shape Search for Optimum Data Compression
Ryan Solgi
Zichang He
William Liang
Zheng Zhang
144
2
0
21 May 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
International Conference on Machine Learning (ICML), 2022
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
474
60
0
09 Mar 2022
On generalization bounds for deep networks based on loss surface implicit regularization
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Masaaki Imaizumi
Johannes Schmidt-Hieber
ODL
435
5
0
12 Jan 2022
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks
Feiqing Huang
Yuefeng Si
Yao Zheng
Guodong Li
271
1
0
09 Dec 2021
Tensor Methods in Computer Vision and Deep Learning
Proceedings of the IEEE (Proc. IEEE), 2021
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
Stefanos Zafeiriou
283
165
0
07 Jul 2021
Implicit Regularization in Tensor Factorization
International Conference on Machine Learning (ICML), 2021
Noam Razin
Asaf Maman
Nadav Cohen
401
60
0
19 Feb 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
Neural Information Processing Systems (NeurIPS), 2021
Thiago Serra
Xin Yu
Abhinav Kumar
Srikumar Ramalingam
401
27
0
15 Feb 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels?
Neural Information Processing Systems (NeurIPS), 2020
Jingling Li
Mozhi Zhang
Keyulu Xu
John P. Dickerson
Jimmy Ba
OOD
NoLa
358
23
0
23 Dec 2020
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning
Journal of High Energy Physics (JHEP), 2020
S. Choudhury
Ankan Dutta
Debisree Ray
306
22
0
16 Nov 2020
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets
Roozbeh Yousefzadeh
Furong Huang
133
6
0
17 Jun 2020
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