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Unsupervised Manifold Linearizing and Clustering

4 January 2023

Shengbang Tong

Papers citing "Unsupervised Manifold Linearizing and Clustering"

50 / 54 papers shown

Title
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 91 74 0 19 Apr 2023
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 74 65 0 04 Oct 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering Peng Wang Huikang Liu Anthony Man-Cho So Laura Balzano 71 11 0 11 Jun 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Daniel Cremers AI4CE 80 24 0 13 May 2022
Efficient Maximal Coding Rate Reduction by Variational Forms Christina Baek Ziyang Wu Kwan Ho Ryan Chan Tianjiao Ding Yi-An Ma B. Haeffele 69 9 0 31 Mar 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features Jinxin Zhou Xiao Li Tian Ding Chong You Qing Qu Zhihui Zhu 76 102 0 02 Mar 2022
Extended Unconstrained Features Model for Exploring Deep Neural Collapse Tom Tirer Joan Bruna AAML 50 101 0 16 Feb 2022
Neural Manifold Clustering and Embedding Zengyi Li Yubei Chen Yann LeCun Friedrich T. Sommer DRL 85 43 0 24 Jan 2022
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi-An Ma 78 30 0 12 Nov 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 83 85 0 22 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering Shangzhi Zhang Chong You René Vidal Chun-Guang Li 78 44 0 08 Oct 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 945 0 11 May 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 72 204 0 06 May 2021
Graph Contrastive Clustering Huasong Zhong Jianlong Wu Chong Chen Jianqiang Huang Minghua Deng Liqiang Nie Zhouchen Lin Xiansheng Hua 57 115 0 03 Apr 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 165 154 0 17 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling Foivos Ntelemis Yaochu Jin S. Thomas SSL 50 27 0 12 Mar 2021
Doubly Stochastic Subspace Clustering Derek Lim René Vidal B. Haeffele 59 22 0 30 Nov 2020
Neural collapse with unconstrained features D. Mixon Hans Parshall Jianzong Pi 72 121 0 23 Nov 2020
A Critique of Self-Expressive Deep Subspace Clustering B. Haeffele Chong You René Vidal 76 28 0 08 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 216 582 0 18 Aug 2020
Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning Giancarlo Paoletti Jacopo Cavazza Cigdem Beyan Alessio Del Bue 53 31 0 21 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 276 4,101 0 17 Jun 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi-An Ma SSL 87 197 0 15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 403 6,844 0 13 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 113 540 0 25 May 2020
Is an Affine Constraint Needed for Affine Subspace Clustering? Chong You Chun-Guang Li Daniel P. Robinson René Vidal 67 25 0 08 May 2020
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 358 604 0 12 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 505 3,444 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 390 18,897 0 13 Feb 2020
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis Daniel P. Robinson René Vidal Chong You 69 9 0 30 Dec 2019
Self-Supervised Convolutional Subspace Clustering Network Junjian Zhang Chun-Guang Li Chong You Xianbiao Qi Honggang Zhang Jun Guo Zhouchen Lin SSL 81 145 0 01 May 2019
On Geometric Analysis of Affine Sparse Subspace Clustering Chun-Guang Li Chong You René Vidal 62 32 0 17 Aug 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 98 853 0 17 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 90 1,902 0 15 Jul 2018
Deep Multimodal Subspace Clustering Networks Mahdi Abavisani Vishal M. Patel 84 166 0 17 Apr 2018
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries M. Tsakiris René Vidal 110 31 0 01 Jan 2018
Deep Sparse Subspace Clustering Xi Peng Jiashi Feng Shijie Xiao Jiwen Lu Zhang Yi Shuicheng Yan 56 22 0 25 Sep 2017
Subspace Clustering using Ensembles of $K$ -Subspaces J. Lipor David Hong Dejiao Zhang Laura Balzano 61 25 0 14 Sep 2017
Deep Subspace Clustering Networks Pan Ji Tong Zhang Hongdong Li Mathieu Salzmann Ian Reid SSL 60 512 0 08 Sep 2017
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering Yanxi Chen Gen Li Yuantao Gu 35 32 0 16 Aug 2017
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 141 852 0 13 Aug 2017
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering Chong You Chun-Guang Li Daniel P. Robinson René Vidal 85 243 0 09 May 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit Chong You Daniel P. Robinson René Vidal 71 348 0 05 Jul 2015
Robust and Efficient Subspace Segmentation via Least Squares Regression Canyi Lu Hai Min Zhongming Zhao Ling Zhu De-Shuang Huang Shuicheng Yan 63 665 0 27 Apr 2014
Noisy Sparse Subspace Clustering Yu Wang Huan Xu NoLa 135 202 0 05 Sep 2013
Robust Subspace Clustering via Thresholding Reinhard Heckel Helmut Bölcskei 122 156 0 18 Jul 2013
Robust subspace clustering Mahdi Soltanolkotabi Ehsan Elhamifar Emmanuel J. Candès 138 366 0 11 Jan 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,460 0 24 Jun 2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications Ehsan Elhamifar René Vidal 138 2,334 0 05 Mar 2012
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 134 1,279 0 05 Mar 2012