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Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

20 May 2020
Tongzhou Wang
Phillip Isola
    SSL
ArXivPDFHTML

Papers citing "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere"

50 / 325 papers shown
Title
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary
  Visual Recognition
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Shuhuai Ren
Aston Zhang
Yi Zhu
Shuai Zhang
Shuai Zheng
Mu Li
Alexander J. Smola
Xu Sun
VPVLM
VLM
21
28
0
10 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Tongzhou Wang
Antonio Torralba
Phillip Isola
Amy Zhang
OffRL
29
31
0
03 Apr 2023
Accelerating exploration and representation learning with offline
  pre-training
Accelerating exploration and representation learning with offline pre-training
Bogdan Mazoure
Jake Bruce
Doina Precup
Rob Fergus
Ankit Anand
OffRL
31
5
0
31 Mar 2023
On the Stepwise Nature of Self-Supervised Learning
On the Stepwise Nature of Self-Supervised Learning
James B. Simon
Maksis Knutins
Liu Ziyin
Daniel Geisz
Abraham J. Fetterman
Joshua Albrecht
SSL
32
29
0
27 Mar 2023
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via
  Direct Contrastive Learning
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning
Kaiwu Zhang
Shiqiang Du
Bao-Yu Liu
Shengxia Gao
17
0
0
22 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex
  Constraints for Multimodel Image Alignment
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Yiqing Zhang
Xinming Huang
Ziming Zhang
36
4
0
21 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical
  Uniformity Gap
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
Weiyang Liu
L. Yu
Adrian Weller
Bernhard Schölkopf
37
17
0
11 Mar 2023
Improving Self-Supervised Learning for Audio Representations by Feature
  Diversity and Decorrelation
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
SSL
42
3
0
07 Mar 2023
Learning Common Rationale to Improve Self-Supervised Representation for
  Fine-Grained Visual Recognition Problems
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Yangyang Shu
Anton Van Den Hengel
Lingqiao Liu
SSL
30
14
0
03 Mar 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
40
11
0
24 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
31
5
0
22 Feb 2023
Contrastive Representation Learning for Acoustic Parameter Estimation
Contrastive Representation Learning for Acoustic Parameter Estimation
Philipp Götz
Cagdas Tuna
Andreas Walther
Emanuel Habets
SSL
17
7
0
22 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of
  Self-Supervision, Reconstruction, Projector Head
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
38
3
0
20 Feb 2023
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
Seonyeong Song
Hyeonho Song
Kunwoo Park
Jiyoung Han
M. Cha
19
1
0
09 Feb 2023
Multi-view Feature Extraction based on Dual Contrastive Head
Multi-view Feature Extraction based on Dual Contrastive Head
Hongjie Zhang
18
1
0
08 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in
  Domain Generalization
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang
Mingkai Chen
Chenming Li
Lingyun Huang
Jianguo Zhang
OOD
21
9
0
05 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
Mutual Wasserstein Discrepancy Minimization for Sequential
  Recommendation
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S Yu
29
15
0
28 Jan 2023
Deciphering the Projection Head: Representation Evaluation
  Self-supervised Learning
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
Jiajun Ma
Tianyang Hu
Wenjia Wang
17
8
0
28 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
BDL
21
4
0
27 Jan 2023
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning
Giacomo Zara
Victor G. Turrisi da Costa
Subhankar Roy
Paolo Rota
Elisa Ricci
38
1
0
09 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in
  Self-Supervised Learning
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Jidong Ge
YuXiang Liu
Jie Gui
Lanting Fang
Ming Lin
James T. Kwok
LiGuo Huang
B. Luo
SSL
16
5
0
08 Jan 2023
Transferring Pre-trained Multimodal Representations with Cross-modal
  Similarity Matching
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching
Byoungjip Kim
Sun Choi
Dasol Hwang
Moontae Lee
Honglak Lee
27
10
0
07 Jan 2023
Learning Decorrelated Representations Efficiently Using Fast Fourier
  Transform
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
Yutaro Shigeto
Masashi Shimbo
Yuya Yoshikawa
A. Takeuchi
19
0
0
04 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
28
18
0
23 Dec 2022
Similarity Contrastive Estimation for Image and Video Soft Contrastive
  Self-Supervised Learning
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
19
6
0
21 Dec 2022
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Gayan K. Kulatilleke
Shekhar S. Chandra
Marius Portmann
36
0
0
15 Dec 2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Xumeng Gong
Cheng Yang
Chuan Shi
VLM
22
41
0
14 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
39
87
0
02 Dec 2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fang Wang
Yingxu Wang
Dongsheng Li
Hansu Gu
T. Lu
Peng-Zhen Zhang
Ning Gu
SSL
20
42
0
01 Dec 2022
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
A Novel Semisupervised Contrastive Regression Framework for Forest
  Inventory Mapping with Multisensor Satellite Data
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
Shaojia Ge
Hong Gu
W. Su
Anne Lonnqvist
O. Antropov
30
4
0
01 Dec 2022
Improved Representation of Asymmetrical Distances with Interval
  Quasimetric Embeddings
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang
Phillip Isola
19
6
0
28 Nov 2022
Pose-disentangled Contrastive Learning for Self-supervised Facial
  Representation
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation
Y. Liu
Wenbin Wang
Yibing Zhan
Shaoze Feng
Li-Yu Daisy Liu
Zhe Chen
SSL
14
13
0
24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language
  Representations
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
45
157
0
24 Nov 2022
Cross-Modal Contrastive Learning for Robust Reasoning in VQA
Cross-Modal Contrastive Learning for Robust Reasoning in VQA
Qinjie Zheng
Chaoyue Wang
Daqing Liu
Dadong Wang
Dacheng Tao
LRM
29
0
0
21 Nov 2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-Supervised Visual Representation Learning via Residual Momentum
T. Pham
Axi Niu
Zhang Kang
Sultan Rizky Hikmawan Madjid
Jiajing Hong
Daehyeok Kim
Joshua Tian Jin Tee
Chang-Dong Yoo
SSL
46
6
0
17 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
The Role of Local Alignment and Uniformity in Image-Text Contrastive
  Learning on Medical Images
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images
Philip Muller
Georgios Kaissis
Daniel Rueckert
MedIm
21
7
0
14 Nov 2022
Contrastive learning for regression in multi-site brain age prediction
Contrastive learning for regression in multi-site brain age prediction
C. Barbano
Benoit Dufumier
Edouard Duchesnay
Marco Grangetto
Pietro Gori
22
14
0
14 Nov 2022
Self-supervised learning of audio representations using angular
  contrastive loss
Self-supervised learning of audio representations using angular contrastive loss
Shanshan Wang
S. Tripathy
A. Mesaros
SSL
24
4
0
10 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure
Benjamin Eysenbach
Ofir Nachum
Jonathan Tompson
SSL
OffRL
35
7
0
03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Tianyi Zhou
Dacheng Tao
35
13
0
02 Nov 2022
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
Xiaotian Zhang
Hang Yan
Sun Yu
Xipeng Qiu
24
4
0
31 Oct 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
43
30
0
30 Oct 2022
Discriminative Speaker Representation via Contrastive Learning with
  Class-Aware Attention in Angular Space
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space
Zhe Li
Man-Wai Mak
Helen M. Meng
26
9
0
29 Oct 2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with
  Contrastive and Distributionally Robust Learning
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
Yue Yu
Chenyan Xiong
Si Sun
Chao Zhang
Arnold Overwijk
VLM
OOD
50
22
0
27 Oct 2022
Bootstrapping meaning through listening: Unsupervised learning of spoken
  sentence embeddings
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
Jian Zhu
Zuoyu Tian
Yadong Liu
Cong Zhang
Chia-wen Lo
SSL
32
2
0
23 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
24
40
0
20 Oct 2022
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