Linear Classification of Neural Manifolds with Correlated Variability

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Linear Classification of Neural Manifolds with Correlated Variability

27 November 2022

Albert J. Wakhloo

Tamara J. Sussman

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Papers citing "Linear Classification of Neural Manifolds with Correlated Variability"

19 / 19 papers shown

Title
Soft-margin classification of object manifolds Uri Cohen H. Sompolinsky 20 2 0 14 Mar 2022
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 56 5 0 14 Oct 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
Neural population geometry: An approach for understanding biological and artificial neural networks SueYeon Chung L. F. Abbott AI4CE 57 210 0 14 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 344 2,362 0 04 Mar 2021
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,778 0 13 Feb 2020
Capacity of the covariance perceptron David Dahmen M. Gilson M. Helias 24 6 0 02 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,085 0 13 Nov 2019
Intrinsic dimension of data representations in deep neural networks A. Ansuini Alessandro Laio Jakob H. Macke D. Zoccolan AI4CE 78 279 0 29 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 141 1,429 0 01 May 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 103 480 0 05 Dec 2018
A mathematical theory of semantic development in deep neural networks Andrew M. Saxe James L. McClelland Surya Ganguli 73 271 0 23 Oct 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 63 446 0 14 Jun 2018
Classification and Geometry of General Perceptual Manifolds SueYeon Chung Daniel D. Lee H. Sompolinsky 59 16 0 17 Oct 2017
Learning Data Manifolds with a Cutting Plane Method SueYeon Chung Uri Cohen H. Sompolinsky Daniel D. Lee 26 14 0 28 May 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Linear Readout of Object Manifolds SueYeon Chung Daniel D. Lee H. Sompolinsky 39 37 0 06 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014
Theory of spike timing based neural classifiers Ran Rubin R. Monasson H. Sompolinsky 68 37 0 26 Oct 2010

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