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How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning

International Conference on Learning Representations (ICLR), 2022
30 March 2022
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang D. Yoo
In So Kweon
    SSL
ArXiv (abs)PDFHTMLGithub

Papers citing "How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning"

50 / 62 papers shown
DeRA: Decoupled Representation Alignment for Video Tokenization
DeRA: Decoupled Representation Alignment for Video Tokenization
Pengbo Guo
Junke Wang
Zhen Xing
Chengxu Liu
Daoguo Dong
Xueming Qian
Zuxuan Wu
AI4TS
153
0
0
04 Dec 2025
Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering
Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering
Ge Cheng
Shuo Wang
Yun Zhang
186
0
0
15 Nov 2025
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation
Kang Zhang
T. Pham
Suyeon Lee
Axi Niu
Arda Senocak
Joon Son Chung
AuLLMVGen
348
0
0
28 Oct 2025
Self-Supervised Representation Learning as Mutual Information Maximization
Self-Supervised Representation Learning as Mutual Information Maximization
Akhlaqur Rahman Sabby
Yi Sui
Tongzi Wu
Jesse C. Cresswell
Ga Wu
SSL
236
0
0
01 Oct 2025
ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse
ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse
Guohao Chen
Shuaicheng Niu
Deyu Chen
Jiahao Yang
Zitian Zhang
Zhuliang Yu
Pengcheng Wu
Zhiqi Shen
AAMLVLM
187
0
0
27 Sep 2025
CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment
CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment
Shengzhu Yang
Jiawei Du
Shuai Lu
Weihang Zhang
Ningli Wang
Huiqi Li
CLIPVLM
218
0
0
08 Aug 2025
Dual Perspectives on Non-Contrastive Self-Supervised Learning
Dual Perspectives on Non-Contrastive Self-Supervised Learning
Jean Ponce
Basile Terver
M. Hebert
Michael Arbel
SSL
230
2
0
18 Jun 2025
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly DetectionInternational Conference on Intelligent Computing (ICIC), 2025
Wenxin Zhang
Ding Xu
Guangzhen Yao
Xiaojian Lin
Renxiang Guan
Chengze Du
Renda Han
Xi Xuan
Cuicui Luo
AI4TS
584
12
0
02 May 2025
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER
Jimin Sohn
David R. Mortensen
343
0
0
10 Mar 2025
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization
T. Pham
Zhang Kang
Ji Woo Hong
Xuran Zheng
Chang D. Yoo
353
2
0
13 Feb 2025
Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning
Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning
Chuang Niu
Wenjun Xia
Hongming Shan
Ge Wang
82
2
0
08 Jan 2025
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward
  Propagation Learning
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
O. M. Velarde
Lucas Parra
261
1
0
10 Nov 2024
BioNCERE: Non-Contrastive Enhancement For Relation Extraction In
  Biomedical Texts
BioNCERE: Non-Contrastive Enhancement For Relation Extraction In Biomedical Texts
Farshad Noravesh
236
0
0
31 Oct 2024
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
Ching Chang
Chiao-Tung Chan
Wei-Yao Wang
Chao-Han Huck Yang
Tien-Fu Chen
AI4TS
328
1
0
16 Oct 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised
  Defense
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised DefenseEuropean Conference on Computer Vision (ECCV), 2024
Jeremy A. Styborski
Mingzhi Lyu
Yunpeng Huang
Adams Kong
411
1
0
13 Sep 2024
Lite-SAM Is Actually What You Need for Segment Everything
Lite-SAM Is Actually What You Need for Segment Everything
Jianhai Fu
Yuanjie Yu
Ningchuan Li
Yi Zhang
Qichao Chen
Jianping Xiong
Jun Yin
Zhiyu Xiang
VLM
329
7
0
12 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang
Zhiguang Hu
Junjie Huang
Donglin Di
Anyang Su
Lei Fan
357
14
0
01 Jul 2024
The Hidden Pitfalls of the Cosine Similarity Loss
The Hidden Pitfalls of the Cosine Similarity Loss
Andrew Draganov
Sharvaree P. Vadgama
Erik J. Bekkers
SSL
462
7
0
24 Jun 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning:
  From InfoNCE to Kernel-Based Losses
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas
Giorgos Bouritsas
Theodoros Giannakopoulos
M. Nicolaou
Yannis Panagakis
324
7
0
28 May 2024
FedSC: Provable Federated Self-supervised Learning with Spectral
  Contrastive Objective over Non-i.i.d. Data
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
Shusen Jing
Anlan Yu
Shuai Zhang
Songyang Zhang
FedML
388
4
0
07 May 2024
Rethinking The Uniformity Metric in Self-Supervised Learning
Rethinking The Uniformity Metric in Self-Supervised Learning
Xianghong Fang
Jian Li
Qiang Sun
Benyou Wang
SSL
336
2
0
01 Mar 2024
DeepSet SimCLR: Self-supervised deep sets for improved pathology
  representation learning
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning
David Torpey
Richard Klein
SSL
197
8
0
23 Feb 2024
The Common Stability Mechanism behind most Self-Supervised Learning
  Approaches
The Common Stability Mechanism behind most Self-Supervised Learning Approaches
Abhishek Jha
Matthew B. Blaschko
Yuki M. Asano
Tinne Tuytelaars
SSL
189
5
0
22 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
591
5
0
22 Feb 2024
Analysis of Using Sigmoid Loss for Contrastive Learning
Analysis of Using Sigmoid Loss for Contrastive Learning
Chungpa Lee
Joonhwan Chang
Jy-yong Sohn
340
5
0
20 Feb 2024
Cross-view Masked Diffusion Transformers for Person Image Synthesis
Cross-view Masked Diffusion Transformers for Person Image Synthesis
T. Pham
Zhang Kang
Chang D. Yoo
307
12
0
02 Feb 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
504
31
0
18 Jan 2024
BSL: Understanding and Improving Softmax Loss for Recommendation
BSL: Understanding and Improving Softmax Loss for Recommendation
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Jizhi Zhang
Xiang Wang
341
13
0
20 Dec 2023
TimeDRL: Disentangled Representation Learning for Multivariate
  Time-Series
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
Ching Chang
Chiao-Tung Chan
Wei-Yao Wang
Wenjie Peng
Tien-Fu Chen
AI4TS
455
19
0
07 Dec 2023
An Efficient Self-Supervised Cross-View Training For Sentence Embedding
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingTransactions of the Association for Computational Linguistics (TACL), 2023
Peerat Limkonchotiwat
Wuttikorn Ponwitayarat
Lalita Lowphansirikul
Can Udomcharoenchaikit
Ekapol Chuangsuwanich
Sarana Nutanong
SSLAI4TS
258
5
0
06 Nov 2023
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Feature Normalization Prevents Collapse of Non-contrastive Learning DynamicsNeural Computation (Neural Comput.), 2023
Han Bao
SSLMLT
380
1
0
28 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based
  Visual Analytics Perspective
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics PerspectiveIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Laixin Xie
Ouyang Yang
Long-fei Chen
Ziming Wu
Quan Li
276
2
0
18 Sep 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
705
2
0
31 Jul 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Changwen Zheng
Xingzhe Su
Wenwen Qiang
Jingyao Wang
Changwen Zheng
Gang Hua
353
3
0
18 Jul 2023
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
Chaoning Zhang
Dongshen Han
Yu Qiao
Jung Uk Kim
Sung-Ho Bae
Seungkyu Lee
Choong Seon Hong
VLM
613
574
0
25 Jun 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time
  Series Anomaly Detection
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2023
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
465
311
0
17 Jun 2023
ReContrast: Domain-Specific Anomaly Detection via Contrastive
  Reconstruction
ReContrast: Domain-Specific Anomaly Detection via Contrastive ReconstructionNeural Information Processing Systems (NeurIPS), 2023
Jia Guo
Shuai Lu
Lize Jia
Weihang Zhang
Huiqi Li
330
88
0
05 Jun 2023
Modulate Your Spectrum in Self-Supervised Learning
Modulate Your Spectrum in Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Xi Weng
Yu-Li Ni
Tengwei Song
Jie Luo
Rao Muhammad Anwer
Salman Khan
Fahad Shahbaz Khan
Lei Huang
345
9
0
26 May 2023
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets
  Prompt Engineering
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Chaoning Zhang
Fachrina Dewi Puspitasari
Sheng Zheng
Chenghao Li
Yu Qiao
...
Caiyan Qin
François Rameau
Lik-Hang Lee
Sung-Ho Bae
Choong Seon Hong
VLM
394
94
0
12 May 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDaFedMLSSL
582
383
0
24 Apr 2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete
  Survey on ChatGPT in AIGC Era
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
Chaoning Zhang
Chenshuang Zhang
Chenghao Li
Yu Qiao
Sheng Zheng
...
Sung-Ho Bae
Lik-Hang Lee
Pan Hui
In So Kweon
Choong Seon Hong
LM&MAAI4MHLRMELM
238
154
0
04 Apr 2023
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge
  Intelligence
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge IntelligenceIEEE Internet of Things Journal (IEEE IoT J.), 2023
Yu Qiao
M. S. Munir
Apurba Adhikary
Huy Q. Le
Avi Deb Raha
Chaoning Zhang
Choong Seon Hong
310
43
0
01 Apr 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to
  GPT-5 All You Need?
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
Chaoning Zhang
Chenshuang Zhang
Sheng Zheng
Yu Qiao
Chenghao Li
...
Lik-Hang Lee
Yang Yang
Heng Tao Shen
In So Kweon
Choong Seon Hong
392
207
0
21 Mar 2023
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive
  Learning
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive LearningACM Transactions on Graphics (TOG), 2023
Yuxin Zhang
Fan Tang
Weiming Dong
Haibin Huang
Chongyang Ma
Tong-Yee Lee
Changsheng Xu
400
39
0
09 Mar 2023
Towards a Unified Theoretical Understanding of Non-contrastive Learning
  via Rank Differential Mechanism
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential MechanismInternational Conference on Learning Representations (ICLR), 2023
Zhijian Zhuo
Yifei Wang
Jinwen Ma
Yisen Wang
288
34
0
04 Mar 2023
Random Teachers are Good Teachers
Random Teachers are Good TeachersInternational Conference on Machine Learning (ICML), 2023
Felix Sarnthein
Gregor Bachmann
Sotiris Anagnostidis
Thomas Hofmann
507
8
0
23 Feb 2023
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair
  Mining Approach
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining ApproachInternational Conference on Learning Representations (ICLR), 2023
Xiang Lan
Hanshu Yan
linda Qiao
Mengling Feng
AI4TS
335
21
0
07 Feb 2023
MaskingDepth: Masked Consistency Regularization for Semi-supervised
  Monocular Depth Estimation
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Jongbeom Baek
Gyeongnyeon Kim
Seonghoon Park
Honggyu An
Matteo Poggi
Seung Wook Kim
MDE
337
0
0
21 Dec 2022
Implicit variance regularization in non-contrastive SSL
Implicit variance regularization in non-contrastive SSLNeural Information Processing Systems (NeurIPS), 2022
Manu Srinath Halvagal
Axel Laborieux
Friedemann Zenke
399
15
0
09 Dec 2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-Supervised Visual Representation Learning via Residual MomentumIEEE Access (IEEE Access), 2022
T. Pham
Axi Niu
Zhang Kang
Sultan Rizky Hikmawan Madjid
Jiajing Hong
Daehyeok Kim
Joshua Tian Jin Tee
Chang D. Yoo
SSL
380
9
0
17 Nov 2022
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