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

15 June 2020

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

35 / 35 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
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 30 0 0 30 Sep 2024
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 41 2 0 18 Jul 2024
Coding for Intelligence from the Perspective of Category Wenhan Yang Zixuan Hu Lilang Lin Jiaying Liu Ling-Yu Duan AI4CE 40 1 0 01 Jul 2024
Latent Intrinsics Emerge from Training to Relight Xiao Zhang William Gao Seemandhar Jain Michael Maire David.A.Forsyth Anand Bhattad 40 3 0 31 May 2024
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features Jianming Lv Sijun Xia Depin Liang Wei Chen 25 0 0 04 Feb 2024
Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury Nicholas Monath Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 19 4 0 30 Nov 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 22 8 0 24 Oct 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 21 28 0 11 Oct 2023
Generalized Neural Collapse for a Large Number of Classes Jiachen Jiang Jinxin Zhou Peng Wang Qing Qu Dustin Mixon Chong You Zhihui Zhu AI4CE 32 23 0 09 Oct 2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation Haoqi Wang Zhizhong Li Wayne Zhang 15 2 0 03 Aug 2023
Understanding Contrastive Learning Through the Lens of Margins Daniel Rho Taesoo Kim Sooill Park Jaehyun Park Jaehan Park SSL 27 2 0 20 Jun 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 6 0 23 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 29 12 0 22 May 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering Hui Tang Yaowei Wang K. Jia OOD 20 43 0 23 Feb 2023
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 20 0 0 21 Feb 2023
Unsupervised Manifold Linearizing and Clustering Tianjiao Ding Shengbang Tong Kwan Ho Ryan Chan Xili Dai Y. Ma B. Haeffele 16 11 0 04 Jan 2023
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
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 18 40 0 20 Oct 2022
Dense but Efficient VideoQA for Intricate Compositional Reasoning Jihyeon Janel Lee Wooyoung Kang Eun-Sol Kim CoGe 16 3 0 19 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 30 58 0 04 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 15 41 0 19 Sep 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
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 21 71 0 08 Jun 2022
Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition Shayan Fazeli Alireza Samiei Thomas D Lee Majid Sarrafzadeh 22 1 0 19 May 2022
Learning Fair Representations via Rate-Distortion Maximization Somnath Basu Roy Chowdhury Snigdha Chaturvedi FaML 6 14 0 31 Jan 2022
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection Zhenhong Sun Ming Lin Xiuyu Sun Zhiyu Tan Hao Li Rong Jin 20 32 0 26 Nov 2021
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 22 30 0 12 Nov 2021
Learning a Self-Expressive Network for Subspace Clustering Shangzhi Zhang Chong You René Vidal Chun-Guang Li 29 44 0 08 Oct 2021
Clustering by Maximizing Mutual Information Across Views Kien Do T. Tran Svetha Venkatesh VLM SSL 11 37 0 24 Jul 2021
Frustratingly Easy Transferability Estimation Long-Kai Huang Ying Wei Yu Rong Qiang Yang Junzhou Huang 25 57 0 17 Jun 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 124 165 0 29 Jan 2021
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization Foivos Ntelemis Yaochu Jin S. Thomas GAN 20 13 0 08 Nov 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016