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Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
12 November 2021
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
Kwan Ho Ryan Chan
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
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Papers citing
"Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction"
20 / 20 papers shown
Title
Simplifying DINO via Coding Rate Regularization
Ziyang Wu
Jingyuan Zhang
Druv Pai
X. Wang
Chandan Singh
Jianwei Yang
Jianfeng Gao
Yi-An Ma
162
1
0
17 Feb 2025
A Global Geometric Analysis of Maximal Coding Rate Reduction
Peng Wang
Huikang Liu
Druv Pai
Yaodong Yu
Zhihui Zhu
Q. Qu
Yi-An Ma
29
6
0
04 Jun 2024
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
30
2
0
01 Dec 2023
Bayesian Neural Networks: A Min-Max Game Framework
Junping Hong
E. Kuruoglu
22
0
0
18 Nov 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
11
0
0
30 Sep 2023
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
15
13
0
08 Jun 2023
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
Runtian Zhai
Bing Liu
Andrej Risteski
Zico Kolter
Pradeep Ravikumar
SSL
28
9
0
01 Jun 2023
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization
Mu-Wei Li
Kanglong Fan
Kede Ma
32
4
0
04 May 2023
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
Shengbang Tong
Yubei Chen
Y. Ma
Yann LeCun
18
24
0
08 Apr 2023
Closed-Loop Transcription via Convolutional Sparse Coding
Xili Dai
K. Chen
Shengbang Tong
Jingyuan Zhang
Xingjian Gao
...
Yuexiang Zhai
Xiaojun Yuan
H. Shum
L. Ni
Y. Ma
DiffM
DRL
28
6
0
18 Feb 2023
Unsupervised Manifold Linearizing and Clustering
Tianjiao Ding
Shengbang Tong
Kwan Ho Ryan Chan
Xili Dai
Y. Ma
B. Haeffele
23
11
0
04 Jan 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
21
5
0
16 Nov 2022
Sample-efficient Quantum Born Machine through Coding Rate Reduction
Pengyuan Zhai
34
0
0
14 Nov 2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Yubei Chen
Mingyang Li
Zengyi Li
Brent Yi
Yann LeCun
Y. Ma
SSL
DRL
26
7
0
30 Oct 2022
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
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games
Druv Pai
Michael Psenka
Chih-Yuan Chiu
Manxi Wu
Edgar Dobriban
Y. Ma
19
6
0
18 Jun 2022
Incremental Learning of Structured Memory via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Ziyang Wu
Mingyang Li
Brent Yi
Yi-An Ma
CLL
28
18
0
11 Feb 2022
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria
Benjamin J. Meyer
Tom Drummond
VLM
AI4CE
GAN
41
20
0
18 Mar 2020
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
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