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
Unsupervised Representation Learning via Neural Activation Coding Yookoon Park Sangho Lee Gunhee Kim David M. Blei SSL 26 8 0 07 Dec 2021
General Facial Representation Learning in a Visual-Linguistic Manner Yinglin Zheng Hao Yang Ting Zhang Jianmin Bao Dongdong Chen Yangyu Huang Lu Yuan Dong Chen Ming Zeng Fang Wen CVBM 146 164 0 06 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 140 81 0 06 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems Vivek Ramanujan Pavan Kumar Anasosalu Vasu Ali Farhadi Oncel Tuzel Hadi Pouransari VLM 32 17 0 06 Dec 2021
Self-supervised Video Transformer Kanchana Ranasinghe Muzammal Naseer Salman Khan Fahad Shahbaz Khan Michael S. Ryoo ViT 44 84 0 02 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 34 8 0 02 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation? Oindrila Saha Zezhou Cheng Subhransu Maji 47 17 0 01 Dec 2021
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 35 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 43 16 0 25 Nov 2021
Self-Distilled Self-Supervised Representation Learning Jiho Jang Seonhoon Kim Kiyoon Yoo Chaerin Kong Jang-Hyun Kim Nojun Kwak SSL 28 15 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 52 239 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 33 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 30 8 0 22 Nov 2021
Self-Supervised Class Incremental Learning Zixuan Ni Siliang Tang Yueting Zhuang CLL 36 6 0 18 Nov 2021
Contrastive Representation Learning with Trainable Augmentation Channel Masanori Koyama Kentaro Minami Takeru Miyato Y. Gal 21 1 0 15 Nov 2021
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning Dwarikanath Mahapatra MedIm 30 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 21 46 0 03 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation Mrinal Anand Aditya Garg SSL 34 2 0 03 Nov 2021
Meta-Learning to Improve Pre-Training Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 32 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 14 1 0 01 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 26 108 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 37 37 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 29 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 54 22 0 27 Oct 2021
Image Quality Assessment using Contrastive Learning Pavan C. Madhusudana Neil Birkbeck Yilin Wang Balu Adsumilli A. Bovik SSL 16 163 0 25 Oct 2021
Contrastive Learning for Neural Topic Model Thong Nguyen Anh Tuan Luu 31 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 32 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 46 10 0 24 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 39 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 65 23 0 21 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Yu Pan Junjin Zheng Lei Wang Zenglin Xu 36 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 48 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 54 489 0 09 Oct 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 27 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 57 88 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 129 304 0 07 Oct 2021
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization Robert Harb Patrick Knobelreiter SSL 52 22 0 07 Oct 2021
ActiveMatch: End-to-end Semi-supervised Active Representation Learning Xinkai Yuan Zilinghan Li Gaoang Wang CLL 40 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 24 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 42 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 30 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 38 0 0 17 Sep 2021
Self-supervised Contrastive Learning for EEG-based Sleep Staging Xue Jiang Jianhui Zhao Bo Du Zhiyong Yuan 10 63 0 16 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations Mina Rezaei Farzin Soleymani B. Bischl Shekoofeh Azizi SSL 55 16 0 15 Sep 2021