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"

39 / 39 papers shown

Title
Simplifying DINO via Coding Rate Regularization Ziyang Wu Jingyuan Zhang Druv Pai Xinze Wang Chandan Singh Jianwei Yang Jianfeng Gao Yi-An Ma 509 1 0 17 Feb 2025
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 100 2 0 18 Jul 2024
Latent Intrinsics Emerge from Training to Relight Xiao Zhang William Gao Seemandhar Jain Michael Maire David.A.Forsyth Anand Bhattad 89 4 0 31 May 2024
A Critique of Self-Expressive Deep Subspace Clustering B. Haeffele Chong You René Vidal 67 28 0 08 Oct 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi-An Ma Jitendra Malik VLM 76 55 0 30 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 79 32 0 14 Jun 2020
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation Ke Li Shichong Peng Tianhao Zhang Jitendra Malik GAN 41 23 0 07 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
A Rate-Distortion Framework for Explaining Neural Network Decisions Jan Macdonald S. Wäldchen Sascha Hauch Gitta Kutyniok 51 39 0 27 May 2019
Self-Supervised Convolutional Subspace Clustering Network Junjian Zhang Chun-Guang Li Chong You Xianbiao Qi Honggang Zhang Jun Guo Zhouchen Lin SSL 76 145 0 01 May 2019
Neural Collaborative Subspace Clustering Tong Zhang Pan Ji Mehrtash Harandi Wen-bing Huang Hongdong Li 32 72 0 24 Apr 2019
Deep Comprehensive Correlation Mining for Image Clustering Jianlong Wu Keyu Long Fei Wang Chao Qian Cheng Li Zhouchen Lin H. Zha 49 161 0 15 Apr 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 220 316 0 05 Nov 2018
Scalable Deep $k$ -Subspace Clustering Tong Zhang Pan Ji Mehrtash Harandi Leonid Sigal Ian Reid 70 35 0 02 Nov 2018
Caveats for information bottleneck in deterministic scenarios Artemy Kolchinsky Brendan D. Tracey S. Kuyk 80 83 0 23 Aug 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 337 2,672 0 20 Aug 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 90 852 0 17 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,356 0 10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 182 3,466 0 05 May 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 56 284 0 15 Mar 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 67 78 0 05 Dec 2017
A learning problem that is independent of the set theory ZFC axioms Shai Ben-David P. Hrubes Shay Moran Amir Shpilka Amir Yehudayoff 54 15 0 14 Nov 2017
Deep Sparse Subspace Clustering Xi Peng Jiashi Feng Shijie Xiao Jiwen Lu Zhang Yi Shuicheng Yan 51 22 0 25 Sep 2017
Deep Subspace Clustering Networks Pan Ji Tong Zhang Hongdong Li Mathieu Salzmann Ian Reid SSL 58 156 0 08 Sep 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 83 452 0 28 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,347 0 16 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 348 4,635 0 10 Nov 2016
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering Chong You Chun-Guang Li Daniel P. Robinson René Vidal 73 243 0 09 May 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters Jianwei Yang Devi Parikh Dhruv Batra SSL 57 818 0 13 Apr 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,945 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 100 2,880 0 19 Nov 2015
LogDet Rank Minimization with Application to Subspace Clustering Zhao Kang Chong Peng Jie Cheng Q. Cheng 48 46 0 03 Jul 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 214 1,592 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,902 0 12 Nov 2013
Multiclass learnability and the ERM principle Amit Daniely Sivan Sabato Shai Ben-David Shai Shalev-Shwartz 158 150 0 13 Aug 2013