Learning deep representations by mutual information estimation and maximization

20 August 2018

R. Devon Hjelm

A. Fedorov

Samuel Lavoie-Marchildon

Papers citing "Learning deep representations by mutual information estimation and maximization"

50 / 515 papers shown

Title
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction Amir Pouran Ben Veyseh Tuan Ngo Nguyen Thien Huu Nguyen GNN 32 47 0 26 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 30 226 0 26 Oct 2020
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents Mohammad Kachuee Hao Yuan Young-Bum Kim Sungjin Lee 21 25 0 21 Oct 2020
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 11 1,115 0 21 Oct 2020
Cross-Modal Information Maximization for Medical Imaging: CMIM Tristan Sylvain Francis Dutil T. Berthier Lisa Di-Jorio Margaux Luck Devon Hjelm Yoshua Bengio 17 6 0 20 Oct 2020
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 30 79 0 20 Oct 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations Fuli Luo Pengcheng Yang Shicheng Li Xuancheng Ren Xu Sun VLM SSL 13 16 0 13 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 112 80 0 13 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 22 26 0 12 Oct 2020
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components Junwen Bai Weiran Wang Yingbo Zhou Caiming Xiong SSL AI4TS 27 12 0 07 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Bo-wen Li Jingjing Liu AAML 43 113 0 05 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning Chen Wei Huiyu Wang Wei Shen Alan Yuille SSL 33 62 0 05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning Jayanth Reddy Regatti A. Deshmukh Eren Manavoglu Ürün Dogan OOD SSL 23 20 0 03 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 35 628 0 02 Oct 2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection Yutong Bai Angtian Wang Adam Kortylewski Alan Yuille 32 14 0 29 Sep 2020
AI Progress in Skin Lesion Analysis Philippe Burlina William Paul P. Mathew Neil J. Joshi Alison W. Rebman J. Aucott 21 0 0 28 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 22 137 0 15 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 14 54 0 15 Sep 2020
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion Jinpeng Wang Yuting Gao Ke Li Jianguo Hu Xinyang Jiang Xiao-Wei Guo Rongrong Ji Xing Sun 31 62 0 12 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 37 116 0 11 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 35 165 0 01 Sep 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach William Falcon Kyunghyun Cho SSL 21 103 0 31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual Representations Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL VLM 21 58 0 26 Aug 2020
Contrastive learning, multi-view redundancy, and linear models Christopher Tosh A. Krishnamurthy Daniel J. Hsu SSL 8 163 0 24 Aug 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization Kun Zhou Haibo Wang Wayne Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang Ji-Rong Wen 28 781 0 18 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 42 0 0 08 Aug 2020
Temporal Context Aggregation for Video Retrieval with Contrastive Learning Jie Shao Xin Wen Bingchen Zhao Xiangyang Xue AI4TS 38 4 0 04 Aug 2020
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning Ting Yao Yiheng Zhang Zhaofan Qiu Yingwei Pan Tao Mei DRL 18 108 0 03 Aug 2020
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition Haocong Rao Shihao Xu Xiping Hu Jun Cheng Bin Hu 22 191 0 01 Aug 2020
Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park Alexei A. Efros Richard Y. Zhang Jun-Yan Zhu SSL 31 1,190 0 30 Jul 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 26 28 0 27 Jul 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 15 72 0 24 Jul 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 21 14 0 18 Jul 2020
Autoregressive Unsupervised Image Segmentation Yassine Ouali C´eline Hudelot Myriam Tami SSL 32 86 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 28 53 0 15 Jul 2020
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models Yuge Shi Brooks Paige Philip H. S. Torr N. Siddharth VLM 21 36 0 02 Jul 2020
Self-Supervised MultiModal Versatile Networks Jean-Baptiste Alayrac Adrià Recasens R. Schneider Relja Arandjelović Jason Ramapuram J. Fauw Lucas Smaira Sander Dieleman Andrew Zisserman SSL 40 371 0 29 Jun 2020
Domain Contrast for Domain Adaptive Object Detection Feng Liu Xiaosong Zhang Fang Wan Xiangyang Ji QiXiang Ye 24 31 0 26 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures Julien Launay Iacopo Poli Franccois Boniface Florent Krzakala 33 62 0 23 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 48 3,998 0 17 Jun 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi Ma SSL 29 189 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
Continual General Chunking Problem and SyncMap Danilo Vasconcellos Vargas Toshitake Asabuki 16 7 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 101 6,655 0 13 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 25 108 0 12 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 30 432 0 11 Jun 2020
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation Yingwei Pan Ting Yao Yehao Li Chong-Wah Ngo Tao Mei 33 72 0 11 Jun 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 19 25 0 11 Jun 2020
On the Maximum Mutual Information Capacity of Neural Architectures Brandon Foggo Nan Yu TPM 21 3 0 10 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 27 14 0 10 Jun 2020