ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.08558
  4. Cited By
Learning Diverse and Discriminative Representations via the Principle of
  Maximal Coding Rate Reduction

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

15 June 2020
Yaodong Yu
Kwan Ho Ryan Chan
Chong You
Chaobing Song
Yi-An Ma
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction"

50 / 117 papers shown
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
202
2
0
20 Oct 2025
Auto-Rubric: Learning From Implicit Weights to Explicit Rubrics for Reward Modeling
Auto-Rubric: Learning From Implicit Weights to Explicit Rubrics for Reward Modeling
Lipeng Xie
Sen Huang
Zhuo Zhang
Anni Zou
Yunpeng Zhai
...
Haoyuan Hu
Boyin Liu
Haoran Chen
Zhaoyang Liu
Bolin Ding
OffRL
186
7
0
20 Oct 2025
Simplifying Optimal Transport through Schatten-$p$ Regularization
Simplifying Optimal Transport through Schatten-ppp Regularization
Tyler Maunu
OT
247
0
0
13 Oct 2025
Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
Qishuai Wen
Zhiyuan Huang
Chun-Guang Li
MQ
458
2
0
21 Sep 2025
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
Che Liu
Zheng Jiang
Chengyu Fang
Heng Guo
Yan-Jie Zhou
Jiaqi Qu
Le Lu
Minfeng Xu
197
2
0
01 Sep 2025
Governable AI: Provable Safety Under Extreme Threat Models
Governable AI: Provable Safety Under Extreme Threat Models
Donglin Wang
Weiyun Liang
Chunyuan Chen
Jing Xu
Yulong Fu
98
1
0
28 Aug 2025
Temporal Rate Reduction Clustering for Human Motion Segmentation
Temporal Rate Reduction Clustering for Human Motion Segmentation
Xianghan Meng
Zhengyu Tong
Zhiyuan Huang
Chun-Guang Li
274
0
0
26 Jun 2025
Data Pruning by Information Maximization
Data Pruning by Information MaximizationInternational Conference on Learning Representations (ICLR), 2025
Haoru Tan
Sitong Wu
Wei Huang
Shizhen Zhao
Xiaojuan Qi
371
11
0
02 Jun 2025
From Compression to Expression: A Layerwise Analysis of In-Context Learning
From Compression to Expression: A Layerwise Analysis of In-Context Learning
Jiachen Jiang
Yuxin Dong
Jinxin Zhou
Zhihui Zhu
292
2
0
22 May 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
Bowen Yuan
Yuxia Fu
Zijian Wang
Yadan Luo
Zi Huang
DD
404
1
0
18 Mar 2025
Simplifying DINO via Coding Rate Regularization
Simplifying DINO via Coding Rate Regularization
Ziyang Wu
Jingyuan Zhang
Druv Pai
Xinze Wang
Chandan Singh
Jianwei Yang
Jianfeng Gao
Yi-An Ma
1.4K
16
0
17 Feb 2025
Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension
Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension
Alec S. Xu
Can Yaras
Peng Wang
Q. Qu
416
3
0
04 Jan 2025
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
Jierui Zhang
Jianhao Huang
Kaibin Huang
517
2
0
19 Dec 2024
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic
  Expansion with Bayesian Inference
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference
Xiaojie Yu
Haibo Zhang
Lizhi Peng
Fengyang Sun
Jeremiah Deng
225
0
0
27 Nov 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like
  Models
An In-depth Investigation of Sparse Rate Reduction in Transformer-like ModelsNeural Information Processing Systems (NeurIPS), 2024
Yunzhe Hu
Difan Zou
Dong Xu
420
4
0
26 Nov 2024
White-Box Diffusion Transformer for single-cell RNA-seq generation
White-Box Diffusion Transformer for single-cell RNA-seq generation
Zhuorui Cui
Shengze Dong
Ding Liu
245
2
0
11 Nov 2024
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Qishuai Wen
Chun-Guang Li
ViT
590
0
0
05 Nov 2024
Guiding Neural Collapse: Optimising Towards the Nearest Simplex
  Equiangular Tight Frame
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight FrameNeural Information Processing Systems (NeurIPS), 2024
Evan Markou
Thalaiyasingam Ajanthan
Stephen Gould
361
7
0
02 Nov 2024
Idempotent Unsupervised Representation Learning for Skeleton-Based
  Action Recognition
Idempotent Unsupervised Representation Learning for Skeleton-Based Action RecognitionEuropean Conference on Computer Vision (ECCV), 2024
Lilang Lin
Lehong Wu
Jiahang Zhang
Jiaying Liu
387
10
0
27 Oct 2024
Dense Optimizer : An Information Entropy-Guided Structural Search Method
  for Dense-like Neural Network Design
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network DesignIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Liu Tianyuan
Hou Libin
Wang Linyuan
Song Xiyu
Yan Bin
268
0
0
10 Oct 2024
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected
  Vehicle Trajectory Data
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data
Jiachen Ye
Dingyu Wang
Shaocheng Jia
Xin Pei
Zi Yang
Yi Zhang
S. Wong
220
0
0
30 Sep 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data
Many Perception Tasks are Highly Redundant Functions of their Input Data
Rahul Ramesh
Anthony Bisulco
Ronald W. DiTullio
Linran Wei
Vijay Balasubramanian
Kostas Daniilidis
Pratik Chaudhari
479
4
0
18 Jul 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance
  Learning for Whole Slide Image Classification
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
Wenhui Zhu
Xiwen Chen
Peijie Qiu
Aristeidis Sotiras
Abolfazl Razi
Yalin Wang
316
37
0
04 Jul 2024
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
XiRuo Jiang
Yazhou Yao
Xili Dai
Fumin Shen
Xian-Sheng Hua
Heng-Tao Shen
282
0
0
03 Jul 2024
Coding for Intelligence from the Perspective of Category
Coding for Intelligence from the Perspective of Category
Wenhan Yang
Zixuan Hu
Lilang Lin
Jiaying Liu
Ling-Yu Duan
AI4CE
654
2
0
01 Jul 2024
Geometric Understanding of Discriminability and Transferability for
  Visual Domain Adaptation
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Xiao-Lin Xu
Qingshan Liu
238
6
0
24 Jun 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction
A Global Geometric Analysis of Maximal Coding Rate ReductionInternational Conference on Machine Learning (ICML), 2024
Peng Wang
Huikang Liu
Druv Pai
Yaodong Yu
Zhihui Zhu
Q. Qu
Yi-An Ma
368
12
0
04 Jun 2024
Latent Intrinsics Emerge from Training to Relight
Latent Intrinsics Emerge from Training to Relight
Xiao Zhang
William Gao
Seemandhar Jain
Michael Maire
David.A.Forsyth
Anand Bhattad
365
14
0
31 May 2024
Learning Visual-Semantic Subspace Representations
Learning Visual-Semantic Subspace Representations
Gabriel Moreira
Alexander Hauptmann
Manuel Marques
João Paulo Costeira
NAI
281
0
0
25 May 2024
Potential Energy based Mixture Model for Noisy Label Learning
Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang
Wenbin Yang
Zhisong Liu
Zhen Jia
NoLa
248
0
0
02 May 2024
Masked Completion via Structured Diffusion with White-Box Transformers
Masked Completion via Structured Diffusion with White-Box TransformersInternational Conference on Learning Representations (ICLR), 2024
Druv Pai
Ziyang Wu
Sam Buchanan
Yaodong Yu
Yi-An Ma
219
16
0
03 Apr 2024
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning
  and Levels-of-Experts
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-ExpertsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Kun Wang
Hao Wu
Guibin Zhang
Cunchun Li
Yuxuan Liang
Yuankai Wu
Roger Zimmermann
Yang Wang
217
18
0
06 Feb 2024
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features
Jianming Lv
Sijun Xia
Depin Liang
Wei Chen
267
0
0
04 Feb 2024
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise
  Tolerance
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise ToleranceInternational Conference on Information and Knowledge Management (CIKM), 2023
Ling-Hao Chen
Yuanshuo Zhang
Taohua Huang
Liangcai Su
Zeyi Lin
Xi Xiao
Xiaobo Xia
Tongliang Liu
NoLa
351
16
0
13 Dec 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Robust Concept Erasure via Kernelized Rate-Distortion MaximizationNeural Information Processing Systems (NeurIPS), 2023
Somnath Basu Roy Chowdhury
Nicholas Monath
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
413
7
0
30 Nov 2023
Bayesian Neural Networks: A Min-Max Game Framework
Bayesian Neural Networks: A Min-Max Game Framework
Junping Hong
E. Kuruoglu
339
0
0
18 Nov 2023
A Principled Hierarchical Deep Learning Approach to Joint Image
  Compression and Classification
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
Siyu Qi
Achintha Wijesinghe
Lahiru D. Chamain
Zhi Ding
174
0
0
30 Oct 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Neural Collapse in Multi-label Learning with Pick-all-label LossInternational Conference on Machine Learning (ICML), 2023
Pengyu Li
Xiao Li
Yutong Wang
Qing Qu
486
14
0
24 Oct 2023
Efficient and Effective Deep Multi-view Subspace Clustering
Efficient and Effective Deep Multi-view Subspace Clustering
Yuxiu Lin
Hui Liu
Ren Wang
Qiang Guo
Caiming Zhang
459
0
0
15 Oct 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in
  Data Pruning
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning
A. Maharana
Prateek Yadav
Mohit Bansal
335
58
0
11 Oct 2023
Generalized Neural Collapse for a Large Number of Classes
Generalized Neural Collapse for a Large Number of ClassesInternational Conference on Machine Learning (ICML), 2023
Jiachen Jiang
Jinxin Zhou
Peng Wang
Qing Qu
Dustin Mixon
Chong You
Zhihui Zhu
AI4CE
383
44
0
09 Oct 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2023
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
496
18
0
29 Sep 2023
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound
  Detection
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Ilyass Moummad
Romain Serizel
Nicolas Farrugia
257
10
0
16 Sep 2023
Emergence of Segmentation with Minimalistic White-Box Transformers
Emergence of Segmentation with Minimalistic White-Box Transformers
Yaodong Yu
Tianzhe Chu
Shengbang Tong
Ziyang Wu
Druv Pai
Sam Buchanan
Yi Ma
ViT
179
27
0
30 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype LearningPattern Recognition (Pattern Recogn.), 2023
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSLCLL
318
37
0
04 Aug 2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by
  Grassmann Class Representation
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class RepresentationIEEE International Conference on Computer Vision (ICCV), 2023
Haoqi Wang
Zhizhong Li
Wayne Zhang
274
5
0
03 Aug 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
KECOR: Kernel Coding Rate Maximization for Active 3D Object DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Yadan Luo
Zhuoxiao Chen
Zhenying Fang
Zheng Zhang
Zi Huang
Mahsa Baktashmotlagh
3DPC
274
18
0
16 Jul 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Threshold-Consistent Margin Loss for Open-World Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2023
Qin Zhang
Linghan Xu
Qingming Tang
Jun Fang
Yingqi Wu
Joseph Tighe
Yifan Xing
275
10
0
08 Jul 2023
Understanding Contrastive Learning Through the Lens of Margins
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho
Taesoo Kim
Sooill Park
Jaehyun Park
Jaehan Park
SSL
289
3
0
20 Jun 2023
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 ModelsInternational Conference on Learning Representations (ICLR), 2023
Tianzhe Chu
Shengbang Tong
Tianjiao Ding
Xili Dai
B. Haeffele
René Vidal
Yi Ma
SSLVLM
419
21
0
08 Jun 2023
123
Next
Page 1 of 3