Self-Supervised Learning

ICLR 2024arXiv:2312.06960

#2

Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment

Utkarsh Kumar Mall, Cheng Perng Phoo, Meilin Liu et al.

78

CVPR 2024arXiv:2312.17742

#3

Learning Vision from Models Rivals Learning Vision from Data

Yonglong Tian, Lijie Fan, Kaifeng Chen et al.

77

ICML 2024arXiv:2402.15567

#4

Foundation Policies with Hilbert Representations

Seohong Park, Tobias Kreiman, Sergey Levine

unsupervised pre-trainingreinforcement learning policiesoffline datazero-shot adaptation+4

59

ICLR 2024arXiv:2209.03917

#5

Exploring Target Representations for Masked Autoencoders

xingbin liu, Jinghao Zhou, Tao Kong et al.

59

CVPR 2025arXiv:2503.16429

#6

Sonata: Self-Supervised Learning of Reliable Point Representations

Xiaoyang Wu, Daniel DeTone, Duncan Frost et al.

44

CVPR 2024arXiv:2312.07330

#7

Learned Representation-Guided Diffusion Models for Large-Image Generation

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le et al.

43

CVPR 2024arXiv:2311.17597

#8

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning

Yiwen Ye, Yutong Xie, Jianpeng Zhang et al.

43

ICLR 2024arXiv:2310.08584

#9

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video

Shashank Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira et al.

37

CVPR 2025arXiv:2501.09781

#10

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Zhongwei Ren, Yunchao Wei, Xun Guo et al.

33

CVPR 2024arXiv:2403.02138

#11

Self-Supervised Facial Representation Learning with Facial Region Awareness

Zheng Gao, Ioannis Patras

29

CVPR 2024arXiv:2403.09639

#12

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

ICLR 2024arXiv:2310.04486

#13

Targeted Representation Alignment for Open-World Semi-Supervised Learning

Ruixuan Xiao, Lei Feng, Kai Tang et al.

T-Rep: Representation Learning for Time Series using Time-Embeddings

Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere

22

ICLR 2024arXiv:2311.16160

#15

Protein-ligand binding representation learning from fine-grained interactions

Shikun Feng, Minghao Li, Yinjun JIA et al.

19

ICLR 2024arXiv:2404.00506

#16

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.

18

ICLR 2024arXiv:2310.07756

#17

Self-supervised Representation Learning from Random Data Projectors

Yi Sui, Tongzi Wu, Jesse Cresswell et al.

17

CVPR 2024arXiv:2403.17409

#18

Neural Clustering based Visual Representation Learning

Guikun Chen, Xia Li, Yi Yang et al.

15

CVPR 2024arXiv:2312.04519

#19

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

Yiduo Hao, Sohrab Madani, Junfeng Guan et al.

14

CVPR 2024arXiv:2403.08161

#20

LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition

Zhonglin Sun, Chen Feng, Ioannis Patras et al.

14

ICML 2024arXiv:2406.07236

#21

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

unsupervised transferzero-shot transferfoundation modelsvision-language models+3

14

AAAI 2024arXiv:2309.02028

#22

Learning Representations of Satellite Images From Metadata Supervision

Jules Bourcier, Gohar Dashyan, Karteek Alahari et al.

Unsupervised Gaze Representation Learning from Multi-view Face Images

Yiwei Bao, Feng Lu

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

kernel methodsrepresentation learningself-supervised learningcontrastive learning+4

11

ICLR 2024arXiv:2310.10833

#25

Proper Laplacian Representation Learning

Diego Gomez, Michael Bowling, Marlos C. Machado

11

ECCV 2024arXiv:2407.06704

#26

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation

Yichen Xie, Runsheng Xu, Tong He et al.

Self-supervised visual learning from interactions with objects

Arthur Aubret, Céline Teulière, Jochen Triesch

self-supervised learningvisual representation learningembodied interactionsego-centric view+4

10

ICLR 2025arXiv:2307.09361

#28

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments

MATTHIEU CORD, Antonin Vobecky, Oriane Siméoni et al.

masked image modelingself-supervised learningvision transformer networkscontrastive learning+3

ICLR 2024arXiv:2306.03857

#29

Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction

Guillaume Bono, Leonid Antsfeld, Assem Sadek et al.

ECCV 2024arXiv:2407.04382

#30

Self-Supervised Representation Learning for Adversarial Attack Detection

Yi Li, Plamen Angelov, Neeraj Suri

ICML 2024arXiv:2406.07398

#31

Visual Representation Learning with Stochastic Frame Prediction

Huiwon Jang, Dongyoung Kim, Junsu Kim et al.

stochastic video generationframe predictionmasked image modelingvideo segmentation+4

ICML 2024arXiv:2407.17486

#32

Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features

Thalles Silva, Helio Pedrini, Adín Ramírez Rivera

self-supervised learningmemory augmented networksnon-parametric memorytraining stability+4

7

ICML 2024arXiv:2408.15114

#33

Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries

Amine Ouasfi, Adnane Boukhayma

implicit neural representationsneural signed distance functions3d shape representationunsupervised learning+4

7

CVPR 2024arXiv:2403.13261

#34

Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations

Kewei Wang, Yizheng Wu, Jun Cen et al.

self-supervised learningmotion predictionautonomous drivingpoint cloud processing+4

6

ICML 2025arXiv:2410.04959

#35

Collapse-Proof Non-Contrastive Self-Supervised Learning

EMANUELE SANSONE, Tim Lebailly, Tinne Tuytelaars

non-contrastive self-supervised learninghyperdimensional computingrepresentation collapsefeature decorrelation+3

6

ICLR 2025arXiv:2506.02612

#36

Simple, Good, Fast: Self-Supervised World Models Free of Baggage

Jan Robine, Marc Höftmann, Stefan Harmeling

world modelsself-supervised representation learningframe stackingaction stacking+3

5

ICCV 2025arXiv:2503.08529

#37

SignRep: Enhancing Self-Supervised Sign Representations

Ryan Wong, Necati Cihan Camgoz, Richard Bowden

5

ICML 2025arXiv:2501.18452

#38

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

Clustering Properties of Self-Supervised Learning

Xi Weng, Jianing An, Xudong Ma et al.

ICLR 2024arXiv:2402.14789

#40

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning

Johnathan Xie, Yoonho Lee, Annie Chen et al.

CVPR 2024arXiv:2404.17620

#41

Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces

Jiahong Wang, Yinwei DU, Stelian Coros et al.

NEURIPS 2025arXiv:2506.13717

#42

Contrastive Self-Supervised Learning As Neural Manifold Packing

Guanming Zhang, David Heeger, Stefano Martiniani

ECCV 2024arXiv:2311.13321

#43

Revisiting Supervision for Continual Representation Learning

Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.

continual representation learningself-supervised learningmulti-layer perceptron projectorfeature transferability+2

CVPR 2025arXiv:2503.08421

#44

Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels

Qiming Xia, Wenkai Lin, Haoen Xiang et al.

unsupervised 3d object detectionmulti-agent lidarcollaborative perceptionpseudo-label generation+2

AAAI 2025arXiv:2403.05966

#45

Can Generative Models Improve Self-Supervised Representation Learning?

Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.

machine unlearningdomain adversarial trainingrepresentation erasuregradient reversal+3

#46

Selective Unlearning via Representation Erasure Using Domain Adversarial Training

Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.

ICLR 2025

ICLR 2024arXiv:2305.10267

#47

State Representation Learning Using an Unbalanced Atlas

Li Meng, Morten Goodwin, Anis Yazidi et al.

ICLR 2025arXiv:2403.02233

#48

A Theoretical Analysis of Self-Supervised Learning for Vision Transformers

Yu Huang, Zixin Wen, Yuejie Chi et al.

self-supervised learningvision transformersmasked autoencoderscontrastive learning+3

CVPR 2024arXiv:2307.08727

#49

Learning to Count without Annotations

Lukas Knobel, Tengda Han, Yuki Asano

ECCV 2024arXiv:2407.11168

#50

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data

Moonjung Eo, Kyungeun Lee, Hye-Seung Cho et al.

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, ioannis Patras

self-supervised learningcluster discriminationunsupervised representation learningcluster balancing+2

2

AAAI 2024arXiv:2312.17285

#52

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Wonjoon Chang, Dahee Kwon, Jaesik Choi

2

ICLR 2024arXiv:2406.18562

#53

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation

Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan et al.

2

NEURIPS 2025arXiv:2502.14704

#54

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting

Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.

time series forecastingself-supervised learningpseudo label generationspectral norm regularization+3

ICLR 2025arXiv:2310.04496

#55

URLOST: Unsupervised Representation Learning without Stationarity or Topology

Zeyu Yun, Juexiao Zhang, Yann LeCun et al.

NEURIPS 2025arXiv:2510.04564

#56

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

conditional representation learningvision-language modelssemantic basis constructioncustomized downstream tasks+3

NEURIPS 2025arXiv:2505.12191

#57

Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum

Wenquan Lu, Jiaqi Zhang, Hugues Van Assel et al.

self-supervised learningnoise robust representation learningdata curriculum learningdenoiser-free inference+2

NEURIPS 2025arXiv:2506.03195

#58

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs

Yunqi Hong, Sohyun An, Andrew Bai et al.

zero-shot classificationmultimodal large language modelsfine-grained image classificationself-supervised prompt learning+2

ICML 2025arXiv:2505.21533

#59

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning

Thalles Silva, Helio Pedrini, Adín Ramírez Rivera

CVPR 2025arXiv:2504.06719

#60

Online Laplacian-Based Representation Learning in Reinforcement Learning

Maheed Ahmed, Jayanth Bhargav, Mahsa Ghasemi

Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding

Pedro Hermosilla, Christian Stippel, Leon Sick

self-supervised learning3d scene understandingmasked scene modelinghierarchical 3d models+2

NEURIPS 2025arXiv:2506.21724

#62

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning

Remco Leijenaar, Hamidreza Kasaei

in-context learningbinary gaussian mixture modellinear attention modelslooped transformers+4

#63

Theoretical Insights into In-context Learning with Unlabeled Data

Yingcong Li, Xiangyu Chang, Muti Kara et al.

NEURIPS 2025

NEURIPS 2025arXiv:2408.08533

#64

LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping

Nikhil Gosala, Kürsat Petek, B Ravi Kiran et al.

Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees

Chenguang Duan, Yuling Jiao, Huazhen Lin et al.

ECCV 2024arXiv:2408.02014

#66

Learning with Structural Labels for Learning with Noisy Labels

Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee

Self-Supervised Representation Learning from Arbitrary Scenarios

Zhaowen Li, Yousong Zhu, Zhiyang Chen et al.

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning

Sheng Li, Chao Wu, Ao Li et al.

ES³: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations

Yuanhang Zhang, Shuang Yang, Shiguang Shan et al.

Unsupervised Representation Learning by Balanced Self Attention Matching

Daniel Shalam, Simon Korman

NEURIPS 2025arXiv:2510.22655

#72

Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels

Yuhang Li, Zhuying Li, Yuheng Jia

Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration

Lianxin Xie, csbingbing zheng, Wen Xue et al.

Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections

Berken Utku Demirel, Christian Holz

unsupervised representation learningtime series representationself-supervised learningframe projections+4

#75

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

Amirhossein Vahidi, Simon Schosser, Lisa Wimmer et al.

Improving Unsupervised Hierarchical Representation with Reinforcement Learning

Ruyi An, Yewen Li, Xu He et al.

CVPR 2024