Contrastive Learning

ICLR 2024arXiv:2312.16424

#2

Soft Contrastive Learning for Time Series

Seunghan Lee, Taeyoung Park, Kibok Lee

contrastive learningtime series representationself-supervised learninginstance-wise contrastive loss+4

52

AAAI 2024arXiv:2401.01010

#3

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt

Jiaqi Liu, Kai Wu, Qiang Nie et al.

44

ICLR 2024arXiv:2403.12448

#4

Do Generated Data Always Help Contrastive Learning?

Yifei Wang, Jizhe Zhang, Yisen Wang

contrastive learningdata inflationdiffusion modelsunsupervised representation learning+3

35

ICLR 2025arXiv:2409.07402

#5

What to align in multimodal contrastive learning?

Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia et al.

multimodal contrastive learningmultimodal self-supervised learningmultimodal representation alignmentmultimodal interactions+3

34

CVPR 2024arXiv:2404.10633

#6

Contextrast: Contextual Contrastive Learning for Semantic Segmentation

Changki Sung, Wanhee Kim, Jungho An et al.

semantic segmentationcontrastive learningmulti-scale feature aggregationboundary-aware sampling+3

31

ICLR 2024arXiv:2303.15103

#7

Contrastive Learning is Spectral Clustering on Similarity Graph

Zhiquan Tan, Yifan Zhang, Jingqin Yang et al.

29

CVPR 2024arXiv:2403.09639

#8

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding

Chengyao Wang, Li Jiang, Xiaoyang Wu et al.

self-supervised representation learning3d scene understandingcontrastive learningpoint cloud representation+4

26

AAAI 2024arXiv:2403.06151

#9

Decoupled Contrastive Learning for Long-Tailed Recognition

Shiyu Xuan, Shiliang Zhang

24

ICLR 2024arXiv:2311.00519

#10

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning

Maxwell Xu, Alexander Moreno, Hui Wei et al.

22

AAAI 2024arXiv:2401.17390

#11

Improved Graph Contrastive Learning for Short Text Classification

Yonghao Liu, Lan Huang, Fausto Giunchiglia et al.

Customizing Language Model Responses with Contrastive In-Context Learning

Xiang Gao, Kamalika Das

contrastive learninglanguage model alignmentin-context learningintent customization+4

20

AAAI 2024arXiv:2309.06023

#13

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji, Zixuan Huang, Qingyun Sun et al.

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

Gang Wu, Junjun Jiang, Kui Jiang et al.

19

AAAI 2024arXiv:2403.04599

#15

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning

Dongxiao He, Jitao Zhao, Cuiying Huo et al.

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation

Jiyong Li, Dilshod Azizov, Yang LI et al.

contrastive continual learningimportance samplingreplay buffer selectionprototype-instance relation distillation+3

ICLR 2024arXiv:2402.02023

#17

Self-Supervised Contrastive Learning for Long-term Forecasting

Junwoo Park, Daehoon Gwak, Jaegul Choo et al.

ICLR 2024arXiv:2302.03357

#18

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach

Xiang Lan, Hanshu Yan, Shenda Hong et al.

CVPR 2024arXiv:2403.05105

#19

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval

Haochen Han, Qinghua Zheng, Guang Dai et al.

ECCV 2024arXiv:2407.11683

#20

Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning

Yunbin Tu, Liang Li, Li Su et al.

ICLR 2024arXiv:2403.12459

#21

Non-negative Contrastive Learning

Yifei Wang, Qi Zhang, Yaoyu Guo et al.

16

ECCV 2024arXiv:2409.17958

#22

The Hard Positive Truth about Vision-Language Compositionality

Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang et al.

vision-language modelscompositionality benchmarkshard negativeshard positives+4

16

AAAI 2024arXiv:2305.04203

#23

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning

Wenhai Wan, Shao-Yuan Li, Xinrui Wang et al.

15

ICLR 2025arXiv:2407.18134

#24

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.

contrastive learningsample similarity graphsvision-language modelsrepresentation learning+4

13

CVPR 2024arXiv:2401.00094

#25

Generating Enhanced Negatives for Training Language-Based Object Detectors

Shiyu Zhao, Long Zhao, Vijay Kumar BG et al.

13

CVPR 2024arXiv:2408.10798

#26

Universal Novelty Detection Through Adaptive Contrastive Learning

Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari et al.

12

NEURIPS 2025arXiv:2503.14963

#27

Continual Multimodal Contrastive Learning

Xiaohao Liu, Xiaobo Xia, See-Kiong Ng et al.

ECCV 2024arXiv:2407.03788

#28

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning

Thanh Thong Nguyen, Yi Bin, Xiaobao Wu et al.

ECCV 2024arXiv:2311.16445

#29

CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts

Yichao Cai, Yuhang Liu, Zhen Zhang et al.

contrastive learningvision-language modelsfeature disentanglementmultimodal learning+4

ICML 2024arXiv:2405.18756

#30

Provable Contrastive Continual Learning

Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.

contrastive continual learningcontinual learningcontrastive lossdistillation loss+3

ICML 2024arXiv:2309.07909

#31

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation

Zelin Zang, Hao Luo, Kai Wang et al.

contrastive learningdiffusion modelsdata augmentationunsupervised representation learning+4

ECCV 2024arXiv:2310.05615

#32

Adaptive Multi-head Contrastive Learning

Lei Wang, Piotr Koniusz, Tom Gedeon et al.

10

ICLR 2024arXiv:2402.07577

#33

Topic Modeling as Multi-Objective Contrastive Optimization

Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong et al.

10

ICLR 2025arXiv:2410.16719

#34

Progressive Compositionality in Text-to-Image Generative Models

Xu Han, Linghao Jin, Xiaofeng Liu et al.

text-to-image synthesisdiffusion modelscompositional reasoningcontrastive learning+3

9

AAAI 2025arXiv:2409.05606

#35

CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization

Nan Chen, Mengqi Huang, Zhuowei Chen et al.

9

ICLR 2024arXiv:2403.05490

#36

Poly-View Contrastive Learning

Amitis Shidani, R Devon Hjelm, Jason Ramapuram et al.

contrastive learninginformation maximizationsufficient statisticsrepresentation learning+3

9

ICLR 2025arXiv:2410.04166

#37

Learning from negative feedback, or positive feedback or both

Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari et al.

preference optimizationnegative feedback learningexpectation-maximization algorithmshuman feedback training+3

ICML 2025arXiv:2502.16936

#38

Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching

Joan Serrà, Recep Oguz Araz, Dmitry Bogdanov et al.

CVPR 2024arXiv:2405.10286

#39

FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models

Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos

contrastive pre-trainingvision-language modelsnegative pair assignmentcaption quality+3

AAAI 2025arXiv:2503.17908

#40

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling

Yongqi Huang, Jitao Zhao, Dongxiao He et al.

ECCV 2024arXiv:2402.11816

#41

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning

Jihai Zhang, Xiang Lan, Xiaoye Qu et al.

contrastive learningfeature suppressionmultimodal contrastive learningnegative sampling+4

5

ICML 2024arXiv:2306.05101

#42

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Sungmin Cha, Kyunghyun Cho, Taesup Moon

continual self-supervised learningcontrastive learninginfonce losspseudo-negative regularization+4

5

#43

Understanding Contrastive Learning via Gaussian Mixture Models

Parikshit Bansal, Ali Kavis, Sujay Sanghavi

contrastive learninggaussian mixture modelsdimensionality reductioninfonce loss+3

#44

SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

Ziqiang Cui, Yunpeng Weng, Xing Tang et al.

contrastive learningsequential recommendationsemantic retrievalllm embeddings+3

AAAI 2024arXiv:2401.00165

#45

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

dense retrievalcontrastive learningfalse negative mitigationnoise contrastive estimation+4

ECCV 2024arXiv:2408.16965

#46

Contrastive Learning with Synthetic Positives

Dewen Zeng, Xinrong Hu, Yawen Wu et al.

CVPR 2025arXiv:2503.18406

#47

Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning

Sherry X. Chen, Misha Sra, Pradeep Sen

instruction-guided image editingcontrastive learninglatent diffusion modelsautomated data refinement+3

ICLR 2025arXiv:2410.14673

#48

Self-supervised contrastive learning performs non-linear system identification

Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider

self-supervised learningcontrastive learningsystem identificationnon-linear dynamics+4

ICML 2024arXiv:2310.03977

#49

Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning

Dunqiang Liu, Shujun Huang, Wen Li et al.

Perfect Alignment May be Poisonous to Graph Contrastive Learning

Jingyu Liu, Huayi Tang, Yong Liu

graph contrastive learningnode representation learningaugmentation designalignment performance+4

CVPR 2024arXiv:2304.05600

#51

Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning

Nikhil Singh, Chih-Wei Wu, Iroro Orife et al.

AAAI 2025arXiv:2412.16522

#52

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.

ICLR 2024arXiv:2402.11928

#53

Separating common from salient patterns with Contrastive Representation Learning

Robin Louiset, Edouard Duchesnay, Grigis Antoine et al.

NEURIPS 2025arXiv:2503.17538

#54

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics

Licong Lin, Song Mei

contrastive learningapproximate sufficient statisticsdata augmentationrepresentation learning+4

NEURIPS 2025arXiv:2505.12473

#55

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Yu Gui, Cong Ma, Zongming Ma

ICLR 2025arXiv:2411.08923

#56

Aligning Visual Contrastive learning models via Preference Optimization

Amirabbas Afzali, Borna khodabandeh, Ali Rasekh et al.

contrastive learningpreference optimizationtypographic attacksvision-language models+3

CVPR 2025arXiv:2503.17024

#57

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets

David Mildenberger, Paul Hager, Daniel Rueckert et al.

supervised contrastive learningbinary imbalanced datasetsrepresentation space qualitymedical diagnosis+2

NEURIPS 2025arXiv:2506.07413

#58

A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation

Huimin Zeng, Xiaojie Wang, Anoop Jain et al.

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology

Liang Yang, Zhenna Li, Jiaming Zhuo et al.

Variational Supervised Contrastive Learning

Ziwen Wang, Jiajun Fan, Thao Nguyen et al.

NEURIPS 2025arXiv:2506.04411

#61

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning

Achleshwar Luthra, Tianbao Yang, Tomer Galanti

contrastive learningself-supervised learningrepresentation learningfew-shot learning+4

ICML 2024arXiv:2404.10575

#62

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization

Tao Long, Lei Zhang, Liang Zhang et al.

EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.

contrastive learningnegative samplingmarkov chain monte carloglobal convergence+4

ICML 2024arXiv:2402.08573

#64

Two Tales of Single-Phase Contrastive Hebbian Learning

Rasmus Kjær Høier, Christopher Zach

contrastive hebbian learningbiologically plausible learningneuromorphic computingdual propagation+4

ICML 2025arXiv:2502.20612

#65

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning

Vicente Balmaseda, Bokun Wang, Lin et al.

ICML 2025arXiv:2405.15269

#66

Test-Time Multimodal Backdoor Detection by Contrastive Prompting

Yuwei Niu, Shuo He, Qi Wei et al.

backdoor detectionmultimodal contrastive learningclip vulnerabilitytest-time defense+4

ICML 2025arXiv:2505.22028

#67

Weakly-Supervised Contrastive Learning for Imprecise Class Labels

Zi-Hao Zhou, Jun-Jie Wang, Tong Wei et al.

ICLR 2025arXiv:2501.11326

#68

The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities

Yongwei Che, Benjamin Eysenbach

contrastive embedding spacesunpaired modality alignmentprobabilistic graphical modelsmultimodal representation learning+3

ICML 2025arXiv:2506.09781

#69

On the Similarities of Embeddings in Contrastive Learning

Chungpa Lee, Sehee Lim, Kibok Lee et al.

NEURIPS 2025arXiv:2506.04906

#70

TRACE: Contrastive learning for multi-trial time series data in neuroscience

Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm et al.

ICLR 2025arXiv:2406.05923

#71

Contrastive Learning from Synthetic Audio Doppelgängers

Manuel Cherep, Nikhil Singh

contrastive learningaudio representation learningsynthetic audio generationsound synthesizer parameterization+2

NEURIPS 2025arXiv:2505.14125

#72

Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks

Han Liu, Jiaqing Zhan, Qin Zhang

Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning

Viet Anh Khoa Tran, Emre Neftci, Willem Wybo

AAAI 2025arXiv:2403.08673

#74

Adapting to Observation Length of Trajectory Prediction via Contrastive Learning

Ruiqi Qiu, JUN GONG, Xinyu Zhang et al.

When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?

Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar

NEURIPS 2025arXiv:2506.15893

#76

Formal Models of Active Learning from Contrastive Examples

Farnam Mansouri, Hans Simon, Adish Singla et al.

active learningcontrastive examplessample complexityconcept classes+3

AAAI 2024arXiv:2410.13439

#77

Multi-Label Supervised Contrastive Learning

Pingyue Zhang, Mengyue Wu

supervised contrastive learningmulti-label learningcontrastive loss functionsrepresentation space construction+3

NEURIPS 2025arXiv:2510.20877

#78

Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery

Jiahua Rao, Hanjing Lin, Leyu Chen et al.

Multimodal Negative Learning

Baoquan Gong, Xiyuan Gao, Pengfei Zhu et al.

CVPR 2025arXiv:2506.01201

#80

Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation

Yue Zhang, Mingyue Bin, Yuyang Zhang et al.

Perceptual Inductive Bias Is What You Need Before Contrastive Learning

Junru Zhao, Tianqin Li, Dunhan Jiang et al.

offline reinforcement learningcontrastive learningtrajectory planninghigh-return states+2

#82

BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning

Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu

ContraDiff: Planning Towards High Return States via Contrastive Learning

Yixiang Shan, Zhengbang Zhu, Ting Long et al.

ICLR 2025

NEURIPS 2025arXiv:2410.05975

#84

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs

Xiong Zhou, Xianming Liu, feilong zhang et al.

Robust Dataset Condensation using Supervised Contrastive Learning

Nicole Kim, Hwanjun Song

Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning

Zihuan Qiu, Yi Xu, Fanman Meng et al.

Cross-Domain Contrastive Learning for Time Series Clustering

Furong Peng, Jiachen Luo, Xuan Lu et al.

Learning to Learn with Contrastive Meta-Objective

Shiguang Wu, Yaqing Wang, Yatao Bian et al.

#89

DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning

Guojin Zhong, Jinhong Hu, Jiajun Chen et al.

AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts

Denizhan Kara, Tomoyoshi Kimura, Jinyang Li et al.

Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning

Fei Xiong, Tao Zhang, Shirui Pan et al.

Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation

Leqi Zheng, Chaokun Wang, Zixin Song et al.

signed graph learninggraph contrastive learningrecommender systemsnegative feedback utilization+3

#93

CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection

Jie Chen, Liangmin Wang, Huijuan Zhu et al.

Enhancing Contrastive Learning with Variable Similarity

Haowen Cui, Shuo Chen, Jun Li et al.

contrastive learningself-supervised learningaugmentation invariancesemantic discrepancies+3

#95

Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning

BaoFeng Tan, Xiu-Shen Wei, Lin Zhao

Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning

Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu et al.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, Sihang Zhou, Meng Liu et al.

Coloring Learning for Heterophilic Graph Representation

Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.

graph self-supervised learningheterophilic graph representationgraph contrastive learninggraph coloring+4

#99

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for

Jianqing Zhang, Yang Liu, Yang Hua et al.

Improving Graph Contrastive Learning via Adaptive Positive Sampling

Jiaming Zhuo, Feiyang Qin, Can Cui et al.

CVPR 2024