Improved Baselines with Momentum Contrastive Learning

9 March 2020

Papers citing "Improved Baselines with Momentum Contrastive Learning"

50 / 2,109 papers shown

Title
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 90 69 0 28 Oct 2021
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking Mengmeng Wang Xiao-qiang Yang Yong Liu 53 1 0 28 Oct 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 71 14 0 27 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 113 80 0 27 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning Siyuan Li Zicheng Liu Z. Zang Di Wu Zhiyuan Chen Stan Z. Li OOD 3DGS OffRL 136 9 0 27 Oct 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Angtian Wang Shenxiao Mei Alan Yuille Adam Kortylewski 3DV 103 21 0 27 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 82 71 0 27 Oct 2021
Directional Self-supervised Learning for Heavy Image Augmentations Yalong Bai Yifan Yang Wei Zhang Tao Mei 40 20 0 26 Oct 2021
Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task Jiuhai Chen Chen Zhu Bin Dai OODD 107 3 0 26 Oct 2021
Self-supervised similarity search for large scientific datasets G. Stein P. Harrington Jacqueline Blaum Tomislav Medan Z. Lukić 63 21 0 25 Oct 2021
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models Liam H. Fowl Jonas Geiping W. Czaja Micah Goldblum Tom Goldstein FedML 130 149 0 25 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification Jinhe Lan Qingyuan Zhan Chenhao Jiang Kunping Yuan Desheng Wang VLM 64 2 0 25 Oct 2021
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation Yunxin Li Ahmet Sencan Yunxin Ding Nazli Ikizler-Cinbis Hao Fei VLM SSL 84 11 0 23 Oct 2021
A Simple Baseline for Low-Budget Active Learning Kossar Pourahmadi Parsa Nooralinejad Hamed Pirsiavash 97 20 0 22 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 73 18 0 22 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight Architectures Prathamesh Sonawane Sparsh Drolia Saqib Nizam Shamsi Bhargav Jain SSL 54 1 0 21 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration Chenjia Bai Lingxiao Wang Lei Han Animesh Garg Jianye Hao Peng Liu Zhaoran Wang 64 30 0 20 Oct 2021
Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos Reuben Tan Bryan A. Plummer Kate Saenko Hailin Jin Bryan C. Russell SSL 94 27 0 20 Oct 2021
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 226 34 0 20 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 54 0 0 19 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles Bram Wallace Devansh Arpit Huan Wang Caiming Xiong SSL OOD 61 0 0 19 Oct 2021
Contrastive Active Inference Pietro Mazzaglia Tim Verbelen Bart Dhoedt 80 26 0 19 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong Guosheng Lin VLM 108 14 0 19 Oct 2021
Unsupervised Finetuning Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lei Zhang Qi Chu B. Liu Nenghai Yu 72 8 0 18 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 63 11 0 18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 124 359 0 18 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning Dahyun Kim Jonghyun Choi SSL MQ 94 5 0 17 Oct 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xia Li 73 7 0 16 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions Feng Wang Tao Kong Rufeng Zhang Huaping Liu Hang Li SSL 109 20 0 14 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 157 137 0 14 Oct 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning Haider Al-Tahan Y. Mohsenzadeh SSL AI4TS 49 0 0 13 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 143 117 0 13 Oct 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 245 191 0 13 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 262 438 0 12 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang Rong Jin Yue Gao SSL 147 41 0 12 Oct 2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning Chongjian Ge Youwei Liang Yibing Song Jianbo Jiao Jue Wang Ping Luo ViT 74 35 0 11 Oct 2021
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types Shentong Mo Xiao Fu Chenyang Hong Yizhen Chen Yuxuan Zheng Xiangru Tang Zhiqiang Shen Eric Xing Yanyan Lan AI4CE 44 21 0 11 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 62 8 0 11 Oct 2021
Weakly Supervised Contrastive Learning Mingkai Zheng Fei Wang Shan You Chao Qian Changshui Zhang Xiaogang Wang Chang Xu SSL 91 126 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 168 527 0 09 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 70 8 0 09 Oct 2021
Colour augmentation for improved semi-supervised semantic segmentation Geoff French Michal Mackiewicz 21 4 0 09 Oct 2021
Temperature as Uncertainty in Contrastive Learning Oliver Zhang Mike Wu Jasmine Bayrooti Noah D. Goodman UQCV 128 33 0 08 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 97 135 0 08 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 265 32 0 06 Oct 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 152 305 0 06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Zou Linjun Zhang SSL 138 53 0 06 Oct 2021
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation Devavrat Tomar Behzad Bozorgtabar M. Lortkipanidze Guillaume Vray Mohammad Saeed Rad Jean-Philippe Thiran 61 21 0 05 Oct 2021
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging Shuangrui Ding Maomao Li Tianyu Yang Rui Qian Haohang Xu Qingyi Chen Jue Wang Hongkai Xiong SSL 88 51 0 30 Sep 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations Mohammadreza Zolfaghari Yi Zhu Peter V. Gehler Thomas Brox 194 130 0 30 Sep 2021