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What Should Not Be Contrastive in Contrastive Learning

What Should Not Be Contrastive in Contrastive Learning

13 August 2020
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
    SSL
    DRL
ArXivPDFHTML

Papers citing "What Should Not Be Contrastive in Contrastive Learning"

30 / 80 papers shown
Title
Towards General and Efficient Active Learning
Towards General and Efficient Active Learning
Yichen Xie
Masayoshi Tomizuka
Wei Zhan
VLM
35
10
0
15 Dec 2021
Time-Equivariant Contrastive Video Representation Learning
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
143
60
0
07 Dec 2021
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from
  a Single Image
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki M. Asano
Aaqib Saeed
43
7
0
01 Dec 2021
Distribution Estimation to Automate Transformation Policies for
  Self-Supervision
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang
Debasmit Das
Simyung Chang
Sungrack Yun
Fatih Porikli
9
6
0
24 Nov 2021
Improving Transferability of Representations via Augmentation-Aware
  Self-Supervision
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
26
51
0
18 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature
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
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Hanghang Tong
31
57
0
28 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
24
71
0
27 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
45
0
0
19 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
32
16
0
15 Oct 2021
Cross-domain Semi-Supervised Audio Event Classification Using
  Contrastive Regularization
Cross-domain Semi-Supervised Audio Event Classification Using Contrastive Regularization
Donmoon Lee
Kyogu Lee
25
3
0
29 Sep 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation
  Learning for 3D CT Lesions
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
Penghua Zhai
Huaiwei Cong
Gangming Zhao
Chaowei Fang
Jinpeng Li
Ting Cai
Huiguang He
24
10
0
17 Aug 2021
Improving Contrastive Learning by Visualizing Feature Transformation
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu
Bingchen Zhao
Jingen Liu
Zhenglong Sun
Chia-Ju Chen
SSL
96
78
0
06 Aug 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang
Jingyang Lin
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
SSL
35
16
0
05 Aug 2021
Enhancing Social Relation Inference with Concise Interaction Graph and
  Discriminative Scene Representation
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation
Xiaotian Yu
Hanling Yi
Yi Yu
Ling Xing
Shiliang Zhang
Xiaoyu Wang
GNN
34
0
0
30 Jul 2021
Do We Really Need to Learn Representations from In-domain Data for
  Outlier Detection?
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?
Zhisheng Xiao
Qing Yan
Y. Amit
OOD
UQCV
20
18
0
19 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
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
Iterative Human and Automated Identification of Wildlife Images
Iterative Human and Automated Identification of Wildlife Images
Zhongqi Miao
Ziwei Liu
Kaitlyn M. Gaynor
M. Palmer
Stella X. Yu
W. Getz
30
46
0
05 May 2021
Composable Augmentation Encoding for Video Representation Learning
Composable Augmentation Encoding for Video Representation Learning
Chen Sun
Arsha Nagrani
Yonglong Tian
Cordelia Schmid
SSL
AI4TS
35
17
0
01 Apr 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLM
SSL
35
116
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
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
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
25
105
0
23 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
28
16
0
08 Mar 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
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
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
21
109
0
07 Feb 2021
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for
  RGB-D Scene Understanding
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu
Li Yi
Shanghang Zhang
Qingnan Fan
Thomas Funkhouser
Hao Dong
SSL
36
58
0
24 Dec 2020
A Survey on Contrastive Self-supervised Learning
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
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
34
1,072
0
27 Oct 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
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
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
270
3,375
0
09 Mar 2020
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