Self-Supervised Learning

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Xinlei Chen, Zhuang Liu, Saining Xie et al.

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

Yiwen Ye, Yutong Xie, Jianpeng Zhang et al.

Sonata: Self-Supervised Learning of Reliable Point Representations

Xiaoyang Wu, Daniel DeTone, Duncan Frost et al.

Scaling Language-Free Visual Representation Learning

David Fan, Shengbang Tong, Jiachen Zhu et al.

Self-Supervised Facial Representation Learning with Facial Region Awareness

Zheng Gao, Ioannis Patras

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Zhongwei Ren, Yunchao Wei, Xun Guo et al.

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

Chengyao Wang, Li Jiang, Xiaoyang Wu et al.

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

Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.

USP: Unified Self-Supervised Pretraining for Image Generation and Understanding

Xiangxiang Chu, Renda Li, Yong Wang

Learning Representations of Satellite Images From Metadata Supervision

Jules Bourcier, Gohar Dashyan, Karteek Alahari et al.

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning

Kunming Su, Qiuxia Wu, Panpan Cai et al.

CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers

Shahaf Arica, Or Rubin, Sapir Gershov et al.

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning

Tim Lenz, Peter Neidlinger, Marta Ligero et al.

An OpenMind for 3D Medical Vision Self-supervised Learning

Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi et al.

FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning

Gaojian Wang, Feng Lin, Tong Wu et al.

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning

Yang Liu, Qianqian Xu, Peisong Wen et al.

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 Representation Learning for Adversarial Attack Detection

Yi Li, Plamen Angelov, Neeraj Suri

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

Guillaume Bono, Leonid Antsfeld, Assem Sadek et al.

CNC-Net: Self-Supervised Learning for CNC Machining Operations

Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar et al.

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Ziming Liu, Jingcai Guo, Song Guo et al.

Collapse-Proof Non-Contrastive Self-Supervised Learning

EMANUELE SANSONE, Tim Lebailly, Tinne Tuytelaars

Self-supervised contrastive learning performs non-linear system identification

Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization

Jiayun Wang, Yubei Chen, Stella Yu

Revisiting Supervision for Continual Representation Learning

Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.

Selective Unlearning via Representation Erasure Using Domain Adversarial Training

Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.

Contrastive Self-Supervised Learning As Neural Manifold Packing

Guanming Zhang, David Heeger, Stefano Martiniani

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning

Weiqi Yan, Lvhai Chen, Huaijia Kou et al.

DIP: Unsupervised Dense In-Context Post-training of Visual Representations

Sophia Sirko-Galouchenko, Spyros Gidaris, Antonin Vobecky et al.

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

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

Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions

Tommaso Galliena, Tommaso Apicella, Stefano Rosa et al.

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

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

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

Yunqi Hong, Sohyun An, Andrew Bai et al.

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

Remco Leijenaar, Hamidreza Kasaei

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

MATTHIEU CORD, Antonin Vobecky, Oriane Siméoni et al.

Unsupervised Meta-Learning via In-Context Learning

Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren et al.

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

Chenguang Duan, Yuling Jiao, Huazhen Lin et al.

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

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

Berken Utku Demirel, Christian Holz

Theoretical Insights into In-context Learning with Unlabeled Data

Yingcong Li, Xiangyu Chang, Muti Kara et al.

URLOST: Unsupervised Representation Learning without Stationarity or Topology

Zeyu Yun, Juexiao Zhang, Yann LeCun et al.

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

Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.

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

Qiming Xia, Wenkai Lin, Haoen Xiang et al.

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, ioannis Patras

Probing the Mid-level Vision Capabilities of Self-Supervised Learning

Xuweiyi Chen, Markus Marks, Zezhou Cheng

SignRep: Enhancing Self-Supervised Sign Representations

Ryan Wong, Necati Cihan Camgoz, Richard Bowden

EditCLIP: Representation Learning for Image Editing

Qian Wang, Aleksandar Cvejic, Abdelrahman Eldesokey et al.

Semi-supervised Deep Transfer for Regression without Domain Alignment

Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan

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

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

Unsupervised Representation Learning by Balanced Self Attention Matching

Daniel Shalam, Simon Korman

Self-supervised visual learning from interactions with objects

Arthur Aubret, Céline Teulière, Jochen Triesch

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

Yuhang Li, Zhuying Li, Yuheng Jia

CGMatch: A Different Perspective of Semi-supervised Learning

Bo Cheng, Jueqing Lu, Yuan Tian et al.

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization

Dongkwan Lee, Kyomin Hwang, Nojun Kwak

Invisible Backdoor Attack against Self-supervised Learning

Hanrong Zhang, Zhenting Wang, Boheng Li et al.

Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics

Zhirui Gao, Renjiao Yi, Yuhang Huang et al.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning

Rongkun Xue, Jinouwen Zhang, Yazhe Niu et al.

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning

Chuxin Wang, Yixin Zha, Wenfei Yang et al.

Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation

Zhongwen Zhang, Yuri Boykov

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

Pedro Hermosilla, Christian Stippel, Leon Sick

Can Generative Models Improve Self-Supervised Representation Learning?

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

Unsupervised Gaze Representation Learning from Multi-view Face Images

Yiwei Bao, Feng Lu

Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training

Arun Reddy, William Paul, Corban Rivera et al.

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Wonjoon Chang, Dahee Kwon, Jaesik Choi

VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding

Guibiao Liao, Jiankun Li, Xiaoqing Ye

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images

Yihang Liu, Lianghua He, Ying Wen et al.

Self-Supervised Representation Learning from Arbitrary Scenarios

Zhaowen Li, Yousong Zhu, Zhiyang Chen et al.

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning

Yuti Liu, Shice Liu, Junyuan Gao et al.

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

Yiduo Hao, Sohrab Madani, Junfeng Guan et al.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space

Linchao Pan, Can Gao, Jie Zhou et al.

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Haoyu Chen, Wenbo Li, Jinjin Gu et al.

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

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data

Xinting Liao, Weiming Liu, Chaochao Chen et al.

Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling

Michael Heck, Christian Geishauser, Nurul Lubis et al.

Exploring Target Representations for Masked Autoencoders

xingbin liu, Jinghao Zhou, Tao Kong et al.

Targeted Representation Alignment for Open-World Semi-Supervised Learning

Ruixuan Xiao, Lei Feng, Kai Tang et al.

Learning with Structural Labels for Learning with Noisy Labels

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

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

Yuanhang Zhang, Shuang Yang, Shiguang Shan et al.

Clustering Properties of Self-Supervised Learning

Xi Weng, Jianing An, Xudong Ma et al.

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

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

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

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

Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation

Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan et al.

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

Johnathan Xie, Yoonho Lee, Annie Chen et al.

Proper Laplacian Representation Learning

Diego Gomez, Michael Bowling, Marlos C. Machado

Protein-ligand binding representation learning from fine-grained interactions

Shikun Feng, Minghao Li, Yinjun JIA et al.

Improving Unsupervised Hierarchical Representation with Reinforcement Learning

Ruyi An, Yewen Li, Xu He et al.

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

Lianxin Xie, csbingbing zheng, Wen Xue et al.

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

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

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning

Thalles Silva, Helio Pedrini, Adín Ramírez Rivera

State Representation Learning Using an Unbalanced Atlas

Li Meng, Morten Goodwin, Anis Yazidi et al.

Online Laplacian-Based Representation Learning in Reinforcement Learning

Maheed Ahmed, Jayanth Bhargav, Mahsa Ghasemi

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

Sheng Li, Chao Wu, Ao Li et al.

Neural Clustering based Visual Representation Learning

Guikun Chen, Xia Li, Yi Yang et al.

Self-supervised Representation Learning from Random Data Projectors

Yi Sui, Tongzi Wu, Jesse Cresswell et al.

Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces

Jiahong Wang, Yinwei DU, Stelian Coros et al.

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

Amirhossein Vahidi, Simon Schosser, Lisa Wimmer et al.