Hard Negative Mixing for Contrastive Learning

2 October 2020

Yannis Kalantidis

Mert Bulent Sariyildiz

Papers citing "Hard Negative Mixing for Contrastive Learning"

45 / 345 papers shown

Title
Investigating the Role of Negatives in Contrastive Representation Learning Jordan T. Ash Surbhi Goel A. Krishnamurthy Dipendra Kumar Misra SSL 29 49 0 18 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 23 25 0 09 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review Ran Liu SSL 29 12 0 06 Jun 2021
Rethinking InfoNCE: How Many Negative Samples Do You Need? Chuhan Wu Fangzhao Wu Yongfeng Huang 21 42 0 27 May 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning Xiao Wang Nian Liu Hui-jun Han C. Shi SSL 18 375 0 19 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 28 241 0 16 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya-Qin Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 42 12 0 08 May 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 133 187 0 02 May 2021
Understanding Synonymous Referring Expressions via Contrastive Features Yi-Wen Chen Yi-Hsuan Tsai Ming-Hsuan Yang ObjD 21 4 0 20 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised learning Prashant Bhat Elahe Arani Bahram Zonooz SSL 22 28 0 20 Apr 2021
A Framework using Contrastive Learning for Classification with Noisy Labels Madalina Ciortan R. Dupuis Thomas Peel VLM NoLa 21 12 0 19 Apr 2021
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling Sebastian Hofstatter Sheng-Chieh Lin Jheng-Hong Yang Jimmy J. Lin Allan Hanbury VLM 6 387 0 14 Apr 2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning Shiyi Chen Ziao Wang Xinni Zhang Xiaofeng Zhang Dan Peng SSL 19 1 0 13 Apr 2021
Context-self contrastive pretraining for crop type semantic segmentation Michail Tarasiou R. Güler S. Zafeiriou SSL 20 17 0 09 Apr 2021
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval Song Liu Haoqi Fan Shengsheng Qian Yiru Chen Wenkui Ding Zhongyuan Wang 30 145 0 28 Mar 2021
Contrastive Domain Adaptation Mamatha Thota Georgios Leontidis SSL 32 59 0 26 Mar 2021
Supporting Clustering with Contrastive Learning Dejiao Zhang Feng Nan Xiaokai Wei Shang-Wen Li Henghui Zhu Kathleen McKeown Ramesh Nallapati Andrew O. Arnold Bing Xiang SSL 41 195 0 24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 32 9 0 23 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning Mandela Patrick Yuki M. Asano Bernie Huang Ishan Misra Florian Metze Joao Henriques Andrea Vedaldi AI4TS 29 33 0 18 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator Jongheon Jeong Jinwoo Shin 30 65 0 17 Mar 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation Yen Nhi Truong Vu Richard Wang N. Balachandar Can Liu A. Ng Pranav Rajpurkar 18 81 0 21 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 35 56 0 19 Feb 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning Kento Nozawa Issei Sato SSL 22 43 0 13 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 76 64 0 12 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation Wenguan Wang Tianfei Zhou F. I. F. Richard Yu Jifeng Dai E. Konukoglu Luc Van Gool 24 473 0 28 Jan 2021
TCLR: Temporal Contrastive Learning for Video Representation I. Dave Rohit Gupta Mamshad Nayeem Rizve Mubarak Shah SSL AI4TS 31 174 0 20 Jan 2021
Social NCE: Contrastive Learning of Socially-aware Motion Representations Yuejiang Liu Qi Yan Alexandre Alahi 29 101 0 21 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris Andrei Bursuc Gilles Puy N. Komodakis Matthieu Cord P. Pérez SSL 30 70 0 21 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation Xiangyu Zhao Raviteja Vemulapalli Philip Mansfield Boqing Gong Bradley Green Lior Shapira Ying Nian Wu SSL SSeg 36 174 0 13 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 28 50 0 10 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 27 27 0 30 Nov 2020
A Unified Mixture-View Framework for Unsupervised Representation Learning Xiangxiang Chu Xiaohang Zhan Bo-Wen Zhang SSL 17 1 0 26 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation T. Huynh Simon Kornblith Matthew R. Walter Michael Maire M. Khademi SSL 22 165 0 23 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries Q. Hu Tianlin Li Wei Hu Guo-Jun Qi SSL 17 151 0 17 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing Texture Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Janit Anjaria Jonghyun Choi Abhinav Shrivastava Abhishek Sharma David Jacobs SSL 39 11 0 03 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 25 1,359 0 31 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
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 72 759 0 09 Oct 2020
Support-set bottlenecks for video-text representation learning Mandela Patrick Po-Yao (Bernie) Huang Yuki M. Asano Florian Metze Alexander G. Hauptmann João Henriques Andrea Vedaldi 22 244 0 06 Oct 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
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 30 103 0 11 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning ByungSoo Ko Geonmo Gu 85 53 0 05 Mar 2020