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Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning

12 February 2024

Papers citing "Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning"

24 / 24 papers shown

Title
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 550 0 0 15 Oct 2024
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff Arthur Jacot MLT 85 14 0 30 May 2023
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks Zihao Wang Lei Wu 63 22 0 15 May 2023
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions Arthur Jacot 75 27 0 29 Sep 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm Lechao Xiao Jeffrey Pennington 90 10 0 11 Jul 2022
Understanding robustness and generalization of artificial neural networks through Fourier masks Nikos Karantzas E. Besier J. O. Caro Xaq Pitkow A. Tolias Ankit B. Patel Fabio Anselmi OOD AAML 28 5 0 16 Mar 2022
Learning with convolution and pooling operations in kernel methods Theodor Misiakiewicz Song Mei MLT 67 29 0 16 Nov 2021
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework Zhiyuan Li Tianhao Wang Sanjeev Arora MLT 105 102 0 13 Oct 2021
Label Noise SGD Provably Prefers Flat Global Minimizers Alexandru Damian Tengyu Ma Jason D. Lee NoLa 107 119 0 11 Jun 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger Matthieu Wyart OOD 58 15 0 06 May 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 98 90 0 25 Feb 2021
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning Zhiyuan Li Yuping Luo Kaifeng Lyu 85 129 0 17 Dec 2020
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li Yi Zhang Sanjeev Arora BDL MLT 83 39 0 16 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 202 578 0 18 Aug 2020
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 68 132 0 03 Nov 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 141 1,418 0 01 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 226 925 0 26 Apr 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 218 314 0 05 Nov 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 267 3,203 0 20 Jun 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro MDE 124 413 0 01 Jun 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 124 213 0 26 Apr 2018
Characterizing Implicit Bias in Terms of Optimization Geometry Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro AI4CE 73 410 0 22 Feb 2018
Understanding Deep Neural Networks with Rectified Linear Units R. Arora A. Basu Poorya Mianjy Anirbit Mukherjee PINN 154 642 0 04 Nov 2016
Group Invariant Scattering S. Mallat 123 991 0 12 Jan 2011