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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"

50 / 64 papers shown
Title
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks
Christos Plachouras
Julien Guinot
George Fazekas
Elio Quinton
Emmanouil Benetos
Johan Pauwels
119
1
0
09 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi
Eilif Muller
Shahab Bakhtiari
49
0
0
06 May 2025
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Anushiya Arunan
Yan Qin
Xiaoli Li
Yuen Chau
AI4TS
23
0
0
03 May 2025
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Marcin Przewiȩźlikowski
Randall Balestriero
Wojciech Jasiński
Marek 'Smieja
Bartosz Zieliñski
69
0
0
04 Dec 2024
CLOVER: Context-aware Long-term Object Viewpoint- and Environment-
  Invariant Representation Learning
CLOVER: Context-aware Long-term Object Viewpoint- and Environment- Invariant Representation Learning
Dongmyeong Lee
Amanda Adkins
Joydeep Biswas
40
0
0
12 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
33
5
0
28 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
64
1
0
08 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
30
19
0
30 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
63
2
0
11 Mar 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
17
0
0
26 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive
  Pairing
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
28
0
0
11 Jan 2024
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
Stochastic positional embeddings improve masked image modeling
Stochastic positional embeddings improve masked image modeling
Amir Bar
Florian Bordes
Assaf Shocher
Mahmoud Assran
Pascal Vincent
Nicolas Ballas
Trevor Darrell
Amir Globerson
Yann LeCun
16
3
0
31 Jul 2023
Does Visual Pretraining Help End-to-End Reasoning?
Does Visual Pretraining Help End-to-End Reasoning?
Chen Sun
Calvin Luo
Xingyi Zhou
Anurag Arnab
Cordelia Schmid
OCL
LRM
ViT
35
3
0
17 Jul 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Mohammad Alkhalefi
Georgios Leontidis
Min Zhong
SSL
87
2
0
28 Jun 2023
Siamese Masked Autoencoders
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
28
48
0
23 May 2023
Semi-Supervised Relational Contrastive Learning
Semi-Supervised Relational Contrastive Learning
Attiano Purpura-Pontoniere
D. Terzopoulos
Adam S. Wang
A. Imran
SSL
12
1
0
11 Apr 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked
  Image Modeling For Label-Efficient Representations
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang
Yinpeng Chen
Mengchen Liu
Dongdong Chen
Xiyang Dai
Lu Yuan
Zicheng Liu
Zhangyang Wang
SSL
VLM
CLIP
35
16
0
27 Feb 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
H. Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
35
11
0
24 Feb 2023
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
11
28
0
23 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OOD
LLMSV
28
5
0
22 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations
Self-supervised learning of Split Invariant Equivariant representations
Q. Garrido
Laurent Najman
Yann LeCun
SSL
24
32
0
14 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
27
0
10 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
26
5
0
03 Feb 2023
The Influences of Color and Shape Features in Visual Contrastive
  Learning
The Influences of Color and Shape Features in Visual Contrastive Learning
Xiao-qiong Zhuang
SSL
19
0
0
29 Jan 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
40
10
0
01 Dec 2022
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action
  Recognition with Growing Augmentations
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
Jiahang Zhang
Lilang Lin
Jiaying Liu
13
46
0
24 Nov 2022
Homomorphic Self-Supervised Learning
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
19
2
0
15 Nov 2022
Self-Supervised Learning Through Efference Copies
Self-Supervised Learning Through Efference Copies
Franz Scherr
Qinghai Guo
Timoleon Moraitis
19
10
0
17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
23
1
0
16 Oct 2022
The Geometry of Self-supervised Learning Models and its Impact on
  Transfer Learning
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
Romain Cosentino
Sarath Shekkizhar
Mahdi Soltanolkotabi
A. Avestimehr
Antonio Ortega
SSL
51
7
0
18 Sep 2022
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
19
0
30 Jul 2022
Optimizing transformations for contrastive learning in a differentiable
  framework
Optimizing transformations for contrastive learning in a differentiable framework
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
20
2
0
27 Jul 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial
  Susceptibility
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
Rohit Gupta
Naveed Akhtar
Ajmal Saeed Mian
M. Shah
AAML
SSL
21
5
0
22 Jul 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity
  in Data-Efficient GANs
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
Ziqiang Li
Chaoyue Wang
Heliang Zheng
Jing Zhang
Bin Li
28
23
0
18 Jul 2022
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
35
29
0
06 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
18
42
0
01 Jul 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
76
19
1
16 Jun 2022
Multi-scale and Cross-scale Contrastive Learning for Semantic
  Segmentation
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas
Claudio S. Ravasio
L. Cruz
Christos Bergeles
15
15
0
25 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Wenwen Qiang
Changwen Zheng
Bing-Huang Su
Hui Xiong
17
23
0
10 Mar 2022
Measuring Self-Supervised Representation Quality for Downstream
  Classification using Discriminative Features
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features
N. Kalibhat
Kanika Narang
Hamed Firooz
Maziar Sanjabi
S. Feizi
SSL
31
7
0
03 Mar 2022
Fuse Local and Global Semantics in Representation Learning
Fuse Local and Global Semantics in Representation Learning
Yuchi Zhao
Yuhao Zhou
FedML
9
1
0
28 Feb 2022
Max-Margin Contrastive Learning
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
21
44
0
21 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
77
655
0
16 Dec 2021
Towards General and Efficient Active Learning
Towards General and Efficient Active Learning
Yichen Xie
M. Tomizuka
Wei Zhan
VLM
32
10
0
15 Dec 2021
Time-Equivariant Contrastive Video Representation Learning
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
140
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
30
7
0
01 Dec 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
31
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
16
71
0
27 Oct 2021
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