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2011.02803
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Intriguing Properties of Contrastive Losses
5 November 2020
Ting Chen
Calvin Luo
Lala Li
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Papers citing
"Intriguing Properties of Contrastive Losses"
50 / 122 papers shown
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Chih-Yu Jian
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Chiou-Ting Hsu
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177
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PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
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Qiang Sun
Yi Yang
137
1
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15 Nov 2025
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
B. U. Demirel
Christian Holz
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SSL
355
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On the Alignment Between Supervised and Self-Supervised Contrastive Learning
Achleshwar Luthra
Priyadarsi Mishra
Tomer Galanti
SSL
206
1
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09 Oct 2025
Graph Your Own Prompt
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Lei Wang
Piotr Koniusz
Yongsheng Gao
260
2
0
27 Sep 2025
Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation
Puru Vaish
Felix Meister
Tobias Heimann
Christoph Brune
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200
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17 Sep 2025
A Generalized Learning Framework for Self-Supervised Contrastive Learning
Lingyu Si
Jingyao Wang
Wenwen Qiang
SSL
178
0
0
19 Aug 2025
Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures
Jonas Ulmen
Ganesh Sundaram
Daniel Görges
153
3
0
14 Aug 2025
Prototype Perturbation for Relaxing Alignment Constraints in Backward-Compatible Learning
Zikun Zhou
Yushuai Sun
Wenjie Pei
Xuzhao Li
Yaowei Wang
CLL
372
1
0
19 Mar 2025
Divide and Conquer Self-Supervised Learning for High-Content Imaging
Lucas Farndale
Paul Henderson
Edward W Roberts
Ke Yuan
SSL
244
1
0
10 Mar 2025
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
Mahshid Rezakhani
Tolunay Seyfi
Fatemeh Afghah
MU
266
11
0
28 Jan 2025
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
Computer Vision and Pattern Recognition (CVPR), 2024
Sanghwan Kim
Rui Xiao
Mariana-Iuliana Georgescu
Stephan Alaniz
Zeynep Akata
VLM
826
16
0
02 Dec 2024
Enhancing Hyperspectral Image Prediction with Contrastive Learning in Low-Label Regime
S. Haidar
José Oramas
SSL
177
1
0
10 Oct 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
European Conference on Computer Vision (ECCV), 2024
Jeremy A. Styborski
Mingzhi Lyu
Yunpeng Huang
Adams Kong
388
1
0
13 Sep 2024
The Clever Hans Effect in Unsupervised Learning
Jacob R. Kauffmann
Jonas Dippel
Lukas Ruff
Wojciech Samek
Klaus-Robert Müller
G. Montavon
SSL
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297
30
0
15 Aug 2024
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
537
40
0
28 Jun 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Kimia Hamidieh
Haoran Zhang
Swami Sankaranarayanan
Elisa Kreiss
366
3
0
28 May 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
353
14
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23 Apr 2024
Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
Elahe Arani
Bahram Zonooz
420
1
0
15 Apr 2024
ComFe: An Interpretable Head for Vision Transformers
Evelyn J. Mannix
H. Bondell
Howard Bondell
VLM
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546
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0
07 Mar 2024
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning
Maurits J. R. Bleeker
Mariya Hendriksen
Andrew Yates
Maarten de Rijke
VLM
364
11
0
27 Feb 2024
The Common Stability Mechanism behind most Self-Supervised Learning Approaches
Abhishek Jha
Matthew B. Blaschko
Yuki M. Asano
Tinne Tuytelaars
SSL
182
5
0
22 Feb 2024
Analysis of Using Sigmoid Loss for Contrastive Learning
Chungpa Lee
Joonhwan Chang
Jy-yong Sohn
319
5
0
20 Feb 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang
Xiang Lan
Xiaoye Qu
Yu Cheng
Mengling Feng
Bryan Hooi
SSL
365
6
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19 Feb 2024
Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR
Robert Turnbull
Evelyn Mannix
237
5
0
23 Jan 2024
EEG-based Cognitive Load Estimation of Acoustic Parameters for Data Sonification
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2024
Gulshan Sharma
Surbhi Madan
Maneesh Bilalpur
Abhinav Dhall
Subramanian Ramanathan
172
4
0
16 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
293
1
0
11 Jan 2024
Multimodal Data Curation via Object Detection and Filter Ensembles
Tzu-Heng Huang
Changho Shin
Sui Jiet Tay
Dyah Adila
Frederic Sala
276
9
0
05 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi
Hyowon Wi
C. Lee
Sung-Bae Cho
Dongha Lee
Noseong Park
DiffM
248
3
0
27 Dec 2023
Medical Vision Language Pretraining: A survey
Prashant Shrestha
Sanskar Amgain
Bidur Khanal
Cristian A. Linte
Binod Bhattarai
VLM
369
30
0
11 Dec 2023
Optimal Sample Complexity of Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Noga Alon
Dmitrii Avdiukhin
Dor Elboim
Orr Fischer
G. Yaroslavtsev
SSL
340
14
0
01 Dec 2023
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
Cian Eastwood
Julius von Kügelgen
Linus Ericsson
Diane Bouchacourt
Pascal Vincent
Bernhard Schölkopf
Mark Ibrahim
268
16
0
15 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations
Stefan Matthes
Zhiwei Han
Hao Shen
318
13
0
08 Nov 2023
scBeacon: single-cell biomarker extraction via identifying paired cell clusters across biological conditions with contrastive siamese networks
Chenyu Liu
Kweon Yong Jin
Jun Ding
120
1
0
05 Nov 2023
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Faruk Ahmed
Supriya Vijay
Tiam Jaroensri
Jessica Loo
...
Jonathan Krause
Yao Xiao
Po-Hsuan Cameron Chen
Ellery Wulczyn
David F. Steiner
242
11
0
20 Oct 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
Neural Information Processing Systems (NeurIPS), 2023
Zhangsihao Yang
Mengwei Ren
Kaize Ding
Guido Gerig
Yalin Wang
SSL
293
8
0
02 Oct 2023
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training
European Conference on Artificial Intelligence (ECAI), 2023
Ruiqi Xu
Y. Huang
Xin Chen
Lin Zhang
187
4
0
19 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Neural Networks (Neural Netw.), 2023
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
303
6
0
30 Aug 2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Jiantao Wu
Shentong Mo
Muhammad Awais
Sara Atito
Zhenhua Feng
J. Kittler
VLM
258
4
0
22 Aug 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
286
2
0
02 Aug 2023
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
210
7
0
08 Jul 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector
Knowledge-Based Systems (KBS), 2023
Marcin Przewike'zlikowski
Mateusz Pyla
Bartosz Zieliñski
Bartlomiej Twardowski
Jacek Tabor
Marek Śmieja
SSL
371
6
0
31 May 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
International Conference on Machine Learning (ICML), 2023
Yihao Xue
S. Joshi
Eric Gan
Pin-Yu Chen
Baharan Mirzasoleiman
SSL
403
36
0
25 May 2023
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning
Evelyn J. Mannix
H. Bondell
SSL
244
0
0
17 May 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Computer Vision and Pattern Recognition (CVPR), 2023
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
328
29
0
04 Apr 2023
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis
Hiroki Waida
Yuichiro Wada
Léo Andéol
Takumi Nakagawa
Yuhui Zhang
Takafumi Kanamori
SSL
280
8
0
01 Apr 2023
On the Stepwise Nature of Self-Supervised Learning
International Conference on Machine Learning (ICML), 2023
James B. Simon
Maksis Knutins
Liu Ziyin
Daniel Geisz
Abraham J. Fetterman
Joshua Albrecht
SSL
342
43
0
27 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
International Conference on Learning Representations (ICLR), 2023
Anna Kukleva
Moritz Bohle
Bernt Schiele
Hilde Kuehne
Christian Rupprecht
314
64
0
23 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Computer Vision and Pattern Recognition (CVPR), 2023
Yiqing Zhang
Xinming Huang
Ziming Zhang
216
12
0
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An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
167
0
0
09 Mar 2023
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