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Efficient Maximal Coding Rate Reduction by Variational Forms

Efficient Maximal Coding Rate Reduction by Variational Forms

31 March 2022
Christina Baek
Ziyang Wu
Kwan Ho Ryan Chan
Tianjiao Ding
Yi Ma
B. Haeffele
ArXivPDFHTML

Papers citing "Efficient Maximal Coding Rate Reduction by Variational Forms"

6 / 6 papers shown
Title
Image Clustering via the Principle of Rate Reduction in the Age of
  Pretrained Models
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu
Shengbang Tong
Tianjiao Ding
Xili Dai
B. Haeffele
René Vidal
Y. Ma
SSL
VLM
25
13
0
08 Jun 2023
Justices for Information Bottleneck Theory
Justices for Information Bottleneck Theory
Faxian Cao
Yongqiang Cheng
A. Khan
Zhijing Yang
17
0
0
19 May 2023
On Interpretable Approaches to Cluster, Classify and Represent
  Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion
  Theory
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory
Kaige Lu
Avraham Chapman
35
0
0
21 Feb 2023
Unsupervised Manifold Linearizing and Clustering
Unsupervised Manifold Linearizing and Clustering
Tianjiao Ding
Shengbang Tong
Kwan Ho Ryan Chan
Xili Dai
Y. Ma
B. Haeffele
25
11
0
04 Jan 2023
On the Principles of Parsimony and Self-Consistency for the Emergence of
  Intelligence
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence
Y. Ma
Doris Y. Tsao
H. Shum
67
75
0
11 Jul 2022
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space
  Perspective
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca
Seong Joon Oh
Sanghyuk Chun
Michael Poli
Sangdoo Yun
OOD
392
49
0
06 Oct 2021
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