Learning Representations by Maximizing Mutual Information Across Views

3 June 2019

Papers citing "Learning Representations by Maximizing Mutual Information Across Views"

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Title
CLAWS: Contrastive Learning with hard Attention and Weak Supervision Jansel Herrera-Gerena Ramakrishnan Sundareswaran John Just Matthew J. Darr Ali Jannesari SSL 43 2 0 01 Dec 2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision Brian Chen Ramprasaath R. Selvaraju Shih-Fu Chang Juan Carlos Niebles Nikhil Naik ViT 30 2 0 01 Dec 2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning Yunjie Tian Lingxi Xie Xiaopeng Zhang Jiemin Fang Haohang Xu Wei Huang Jianbin Jiao Qi Tian QiXiang Ye SSL GAN 36 16 0 25 Nov 2021
Self-Distilled Self-Supervised Representation Learning J. Jang Seonhoon Kim Kiyoon Yoo Chaerin Kong Jang-Hyun Kim Nojun Kwak SSL 22 14 0 25 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu Baining Guo ViT 42 238 0 24 Nov 2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning Binhui Xie Kejia Yin Shuang Li 23 11 0 24 Nov 2021
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing Taesik Gong Yewon Kim Adiba Orzikulova Yunxin Liu Sung Ju Hwang Jinwoo Shin Sung-Ju Lee 13 8 0 22 Nov 2021
Self-Supervised Class Incremental Learning Zixuan Ni Siliang Tang Yueting Zhuang CLL 23 6 0 18 Nov 2021
Contrastive Representation Learning with Trainable Augmentation Channel Masanori Koyama Kentaro Minami Takeru Miyato Y. Gal 16 1 0 15 Nov 2021
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning Dwarikanath Mahapatra MedIm 27 5 0 15 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desi R. Ivanova Adam Foster Steven Kleinegesse Michael U. Gutmann Tom Rainforth OffRL 13 46 0 03 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation Mrinal Anand Aditya Garg SSL 26 2 0 03 Nov 2021
Meta-Learning to Improve Pre-Training Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 19 30 0 02 Nov 2021
Multi network InfoMax: A pre-training method involving graph convolutional networks Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis AI4CE 4 1 0 01 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 21 106 0 01 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 22 34 0 01 Nov 2021
Residual Relaxation for Multi-view Representation Learning Yifei Wang Zhengyang Geng Feng Jiang Chuming Li Yisen Wang Jiansheng Yang Zhouchen Lin 14 39 0 28 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging Chaoqi Yang MSc Cao Xiao PhD M Brandon Westover PhD Jimeng Sun SSL 46 21 0 27 Oct 2021
Image Quality Assessment using Contrastive Learning Pavan C. Madhusudana N. Birkbeck Yilin Wang Balu Adsumilli A. Bovik SSL 16 163 0 25 Oct 2021
Contrastive Learning for Neural Topic Model Thong Nguyen A. Luu 26 56 0 25 Oct 2021
MUSE: Feature Self-Distillation with Mutual Information and Self-Information Yunpeng Gong Ye Yu Gaurav Mittal Greg Mori Mei Chen SSL 28 2 0 25 Oct 2021
Contrastive Neural Processes for Self-Supervised Learning Konstantinos Kallidromitis Denis A. Gudovskiy Kozuka Kazuki Ohama Iku Luca Rigazio SSL AI4TS 38 10 0 24 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 27 40 0 22 Oct 2021
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 62 23 0 21 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Y. Pan Junjin Zheng Lei Wang Zenglin Xu 33 0 0 18 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive Self-supervision Xiang Wang Xinlei Chen S. Du Yuandong Tian SSL 21 26 0 11 Oct 2021
Digging Into Self-Supervised Learning of Feature Descriptors Iaroslav Melekhov Zakaria Laskar Xiaotian Li Shuzhe Wang Arno Solin SSL 32 8 0 10 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 49 477 0 09 Oct 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 20 30 0 08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 50 86 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 302 0 07 Oct 2021
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization Robert Harb Patrick Knobelreiter SSL 41 22 0 07 Oct 2021
ActiveMatch: End-to-end Semi-supervised Active Representation Learning Xinkai Yuan Zilinghan Li Gaoang Wang CLL 19 6 0 06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework Tengteng Huang Yifan Sun Xun Wang Haotian Yao Chi Zhang 20 3 0 04 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning Zixu Zhao Yueming Jin Pheng-Ann Heng SSL 37 21 0 28 Sep 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 65 48 0 27 Sep 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning Ramakrishnan Sundareswaran Jansel Herrera-Gerena John Just Ali Janessari SSL DRL 35 4 0 26 Sep 2021
Self-Supervised Video Representation Learning by Video Incoherence Detection Haozhi Cao Yuecong Xu Jianfei Yang K. Mao Lihua Xie Jianxiong Yin Simon See SSL 18 6 0 26 Sep 2021
POAR: Efficient Policy Optimization via Online Abstract State Representation Learning Zhaorun Chen Siqi Fan Yuan Tan Liang Gong Binhao Chen Te Sun David Filliat Natalia Díaz Rodríguez Chengliang Liu OffRL 30 0 0 17 Sep 2021
Self-supervised Contrastive Learning for EEG-based Sleep Staging Xue Jiang Jianhui Zhao Bo Du Zhiyong Yuan 10 62 0 16 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations Mina Rezaei Farzin Soleymani B. Bischl Shekoofeh Azizi SSL 50 16 0 15 Sep 2021
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning Haonan Li Yeyun Gong Jian Jiao Ruofei Zhang Timothy Baldwin Nan Duan OffRL 54 6 0 14 Sep 2021
The Emergence of the Shape Bias Results from Communicative Efficiency Eva Portelance Michael C. Frank Dan Jurafsky Alessandro Sordoni Romain Laroche 85 19 0 13 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu Qing Guo FaML 157 95 0 12 Sep 2021
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification Varsha Suresh Desmond C. Ong VLM 63 79 0 12 Sep 2021
Pairwise Supervised Contrastive Learning of Sentence Representations Dejiao Zhang Shang-Wen Li Wei Xiao Henghui Zhu Ramesh Nallapati Andrew O. Arnold Bing Xiang SSL 55 50 0 12 Sep 2021
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene Huy Q. Vo Tuong Khanh Long Do Vinson Pham Duy V.M. Nguyen An T. Duong Quang-Dieu Tran 17 3 0 07 Sep 2021
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition Jinqiang Wang Tao Zhu Jingyuan Gan L. Chen Huansheng Ning Yaping Wan 17 49 0 05 Sep 2021