A Global Geometric Analysis of Maximal Coding Rate Reduction

4 June 2024

Peng Wang

Yaodong Yu

Papers citing "A Global Geometric Analysis of Maximal Coding Rate Reduction"

22 / 22 papers shown

Title
Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu Tianzhe Chu Shengbang Tong Ziyang Wu Druv Pai Sam Buchanan Yi Ma ViT 42 22 0 30 Aug 2023
White-Box Transformers via Sparse Rate Reduction Yaodong Yu Sam Buchanan Druv Pai Tianzhe Chu Ziyang Wu Shengbang Tong B. Haeffele Yi Ma ViT 90 86 0 01 Jun 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks Wojciech Masarczyk M. Ostaszewski Ehsan Imani Razvan Pascanu Piotr Milo's Tomasz Trzciñski 82 24 0 31 May 2023
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 53 44 0 19 Sep 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Yi Ma 60 6 0 18 Jun 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 74 30 0 12 Nov 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 69 205 0 06 May 2021
Neural collapse with unconstrained features D. Mixon Hans Parshall Jianzong Pi 72 121 0 23 Nov 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 205 578 0 18 Aug 2020
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 59 45 0 14 Jul 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,022 0 22 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,121 0 13 Nov 2019
Dimensionality compression and expansion in Deep Neural Networks Stefano Recanatesi M. Farrell Madhu S. Advani Timothy Moore Guillaume Lajoie E. Shea-Brown 60 74 0 02 Jun 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
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 65 426 0 25 Sep 2018
The Expressive Power of Neural Networks: A View from the Width Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 99 898 0 08 Sep 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Rong Ge Chi Jin Yi Zheng 129 436 0 03 Apr 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 341 8,169 0 13 Aug 2016
A Geometric Analysis of Phase Retrieval Ju Sun Qing Qu John N. Wright 129 526 0 22 Feb 2016
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,584 0 10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 271 12,456 0 24 Jun 2012