Representation Learning

CVPR 2025arXiv:2410.13571

#2

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Xinlei Chen, Zhuang Liu, Saining Xie et al.

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang et al.

83

CVPR 2024arXiv:2308.09718

#4

Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training

Xiaoyang Wu, Zhuotao Tian, Xin Wen et al.

77

ICLR 2024arXiv:2312.10812

#5

Learning to Act without Actions

Dominik Schmidt, Minqi Jiang

69

CVPR 2024arXiv:2403.10701

#6

IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation

Yizhi Song, Zhifei Zhang, Zhe Lin et al.

63

ICLR 2024arXiv:2403.12143

#7

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Miltiadis (Miltos) Kofinas, Boris Knyazev, Yan Zhang et al.

51

CVPR 2024arXiv:2404.01440

#8

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects

Yijia Weng, Bowen Wen, Jonathan Tremblay et al.

49

CVPR 2024arXiv:2311.17597

#9

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

Yiwen Ye, Yutong Xie, Jianpeng Zhang et al.

42

ICCV 2025arXiv:2504.01017

#10

Scaling Language-Free Visual Representation Learning

David Fan, Shengbang Tong, Jiachen Zhu et al.

visual self-supervised learningcontrastive language-image pretrainingmultimodal representation learningvision encoders+2

39

ICLR 2024arXiv:2403.12448

#11

Sonata: Self-Supervised Learning of Reliable Point Representations

Xiaoyang Wu, Daniel DeTone, Duncan Frost et al.

Disentangled Prompt Representation for Domain Generalization

De Cheng, Zhipeng Xu, XINYANG JIANG et al.

Do Generated Data Always Help Contrastive Learning?

Yifei Wang, Jizhe Zhang, Yisen Wang

35

CVPR 2024arXiv:2403.02138

#14

Self-Supervised Facial Representation Learning with Facial Region Awareness

Zheng Gao, Ioannis Patras

29

ECCV 2024arXiv:2403.11561

#15

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

Liren He, Zhengkai Jiang, Jinlong Peng et al.

27

NeurIPS 2025arXiv:2507.01467

#16

Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

Ge Wu, Shen Zhang, Ruijing Shi et al.

diffusion modelsrepresentation entanglementdenoising networksimage generation+3

26

CVPR 2024arXiv:2403.09639

#17

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

Chengyao Wang, Li Jiang, Xiaoyang Wu et al.

25

CVPR 2024arXiv:2404.01628

#18

Learning Equi-angular Representations for Online Continual Learning

Minhyuk Seo, Hyunseo Koh, Wonje Jeung et al.

23

ICLR 2025arXiv:2407.05441

#19

Language Representations Can be What Recommenders Need: Findings and Potentials

Leheng Sheng, An Zhang, Yi Zhang et al.

23

ECCV 2024arXiv:2407.10910

#20

DataDream: Few-shot Guided Dataset Generation

Jae Myung Kim, Jessica Bader, Stephan Alaniz et al.

few-shot learningdataset generationdiffusion modelsimage classification+3

23

CVPR 2024arXiv:2403.10897

#21

Rethinking Multi-view Representation Learning via Distilled Disentangling

Guanzhou Ke, Bo Wang, Xiao-Li Wang et al.

22

ICLR 2024arXiv:2310.18348

#22

Meaning Representations from Trajectories in Autoregressive Models

Tian Yu Liu, Matthew Trager, Alessandro Achille et al.

22

ICLR 2025arXiv:2410.22325

#23

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets

Guangqi Jiang, Yifei Sun, Tao Huang et al.

robotic representation learningmanipulation centricitycontrastive learningrobot proprioception+4

22

CVPR 2024arXiv:2403.03122

#24

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors

Yannan He, Garvita Tiwari, Tolga Birdal et al.

21

ICML 2025arXiv:2502.13142

#25

Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning

Youhan Lee, Hasun Yu, Jaemyung Lee et al.

Pre-training Auto-regressive Robotic Models with 4D Representations

Dantong Niu, Yuvan Sharma, Haoru Xue et al.

19

ICLR 2024arXiv:2306.00788

#27

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

Runtian Zhai, Bingbin Liu, Andrej Risteski et al.

17

NeurIPS 2025arXiv:2506.01946

#28

MLLMs Need 3D-Aware Representation Supervision for Scene Understanding

Xiaohu Huang, Jingjing Wu, Qunyi Xie et al.

3d-aware representationmultimodal large language modelsscene understandingmulti-view correspondence+3

17

ICLR 2024arXiv:2403.10760

#29

CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects

Yoonyoung Cho, Junhyek Han, Yoontae Cho et al.

16

CVPR 2024arXiv:2312.09056

#30

ReCoRe: Regularized Contrastive Representation Learning of World Model

Rudra P, K. Poudel, Harit Pandya et al.

CVPR 2024arXiv:2402.02352

#31

Region-Based Representations Revisited

Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao et al.

AAAI 2024arXiv:2312.15909

#32

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations

Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang et al.

offline meta-reinforcement learningtask representation learningdata limitationstask auto-encoder+4

AAAI 2025arXiv:2408.12116

#33

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning

Junlin He, Tong Nie, Wei Ma

AAAI 2024arXiv:2312.11872

#34

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning

Yanqi Ge, Qiang Nie, Ye Huang et al.

representation learningsemantic anchor regularizationprototype-based methodslong-tail distribution+4

13

AAAI 2025arXiv:2409.00353

#35

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

Kunming Su, Qiuxia Wu, Panpan Cai et al.

13

ICLR 2025arXiv:2504.16929

#36

Robust Multimodal Learning via Representation Decoupling

Shicai Wei, Yang Luo, Yuji Wang et al.

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning

Tim Lenz, Peter Neidlinger, Marta Ligero et al.

A Unifying Framework for Representation Learning

Shaden Alshammari, John Hershey, Axel Feldmann et al.

representation learningloss functionsinformation geometrycontrastive learning+4

12

ICLR 2025arXiv:2410.03006

#39

Formation of Representations in Neural Networks

Liu Ziyin, Isaac Chuang, Tomer Galanti et al.

neural representationscanonical representation hypothesispolynomial alignment hypothesisgradient noise regularization+4

12

ICML 2025arXiv:2502.00848

#40

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning

Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang et al.

12

CVPR 2024arXiv:2401.14405

#41

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong et al.

11

CVPR 2025arXiv:2412.12032

#42

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Can Demircan, Tankred Saanum, Akshay Jagadish et al.

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

Gaojian Wang, Feng Lin, Tong Wu et al.

masked image modelinginstance discriminationdeepfake detectionface anti-spoofing+4

11

AAAI 2024arXiv:2309.02028

#44

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

kernel methodsrepresentation learningself-supervised learningcontrastive learning+4

11

AAAI 2025arXiv:2408.16540

#45

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors

Xiangchen Yin, Donglin Di, Lei Fan et al.

CVPR 2025arXiv:2503.15096

#46

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

Yang Liu, Qianqian Xu, Peisong Wen et al.

ICCV 2025arXiv:2508.06492

#47

Effective Training Data Synthesis for Improving MLLM Chart Understanding

Yuwei Yang, Zeyu Zhang, Yunzhong Hou et al.

chart understandingmultimodal large language modelsdata synthesis pipelinesynthetic chart generation+3

ECCV 2024arXiv:2407.15843

#48

CarFormer: Self-Driving with Learned Object-Centric Representations

Shadi Hamdan, Fatma Guney

object-centric representationsbird's eye viewslot attention modelautonomous driving+3

ICLR 2025arXiv:2410.18082

#49

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition

Lilang Lin, Lehong Wu, Jiahang Zhang 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.

Prioritized Generative Replay

Ren Wang, Kevin Frans, Pieter Abbeel et al.

9

CVPR 2024arXiv:2404.00254

#52

Clustering for Protein Representation Learning

Ruijie Quan, Wenguan Wang, Fan Ma et al.

8

ICLR 2024arXiv:2306.03857

#53

Knowledge Enhanced Representation Learning for Drug Discovery

Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martinez 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.

8

ICLR 2025arXiv:2503.01034

#56

Data Unlearning in Diffusion Models

Silas Alberti, Kenan Hasanaliyev, Manav Shah et al.

8

ICLR 2025arXiv:2410.03478

#57

VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning

Han Lin, Tushar Nagarajan, Nicolas Ballas et al.

7

ICLR 2024arXiv:2404.16779

#58

On the Transfer of Object-Centric Representation Learning

Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal et al.

DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks

Tongzhou Mu, Minghua Liu, Hao Su

7

NeurIPS 2025arXiv:2502.05743

#60

Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling

Xiao Li, Zekai Zhang, Xiang Li et al.

diffusion modelsrepresentation learningself-supervised learningunimodal dynamics+4

6

NeurIPS 2025arXiv:2507.08980

#61

Learning Diffusion Models with Flexible Representation Guidance

Chenyu Wang, Cai Zhou, Sharut Gupta et al.

diffusion modelsrepresentation guidancedenoising modelsmultimodal learning+4

5

AAAI 2025arXiv:2501.05496

#62

FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

Yanbing Zhou, Xiangmou Qu, Chenlong You et al.

5

AAAI 2025arXiv:2412.08038

#63

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach

Hang Gao, Chenhao Zhang, Fengge Wu et al.

5

AAAI 2025arXiv:2412.12014

#64

Generalization Analysis for Deep Contrastive Representation Learning

Nong Minh Hieu, Antoine Ledent, Yunwen Lei et al.

ICLR 2025arXiv:2407.11249

#65

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

AAAI 2025arXiv:2408.12253

#66

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

Ziming Liu, Jingcai Guo, Song Guo et al.

ICLR 2025arXiv:2503.06343

#67

Forte : Finding Outliers with Representation Typicality Estimation

Debargha Ganguly, Warren Morningstar, Andrew Yu et al.

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning

Samuel Garcin, Trevor McInroe, Pablo Samuel Castro et al.

actor-critic algorithmsrepresentation learningsample efficiencyexploration strategies+2

CVPR 2024arXiv:2403.19220

#69

GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds

Shengjun Zhang, Xin Fei, Yueqi Duan

ECCV 2024arXiv:2311.15783

#70

Hypernetworks for Generalizable BRDF Representation

Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou et al.

brdf representationsparse sampling reconstructionhypernetworksset encoder+4

CVPR 2025arXiv:2503.18123

#71

Pre-trained Visual Dynamics Representations for Efficient Policy Learning

Hao Luo, Bohan Zhou, Zongqing Lu

End-to-End Implicit Neural Representations for Classification

Alexander Gielisse, Jan van Gemert

implicit neural representationssignal reconstructionsiren classificationtransformer architecture+4

ICCV 2025arXiv:2504.20041

#73

Learning Streaming Video Representation via Multitask Training

Yibin Yan, Jilan Xu, Shangzhe Di et al.

CVPR 2025arXiv:2503.12821

#74

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Hai Huang, Yan Xia, Sashuai Zhou et al.

GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning

Guangyan Chen, Te Cui, Meiling Wang et al.

A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering

Zheming Xu, He Liu, Congyan Lang et al.

From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration

Mingyang Song, Xiaoye Qu, Jiawei Zhou et al.

AAAI 2025arXiv:2412.13790

#78

Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels

Jae Soon Baik, In Young Yoon, Kun Hoon Kim et al.

Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation

Qi Guo, Zhen Tian, Minghao Yao et al.

Toward Efficient Data-Free Unlearning

Chenhao Zhang, Shaofei Shen, Weitong Chen et al.

graph neural networksnode embeddingspre-training strategiespermutation symmetries+3

#81

Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings

Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec et al.

ICLR 2025

AAAI 2025arXiv:2412.10739

#82

DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions

Jingyu Zhang, Yilei Wang, Lang Qian et al.

NeurIPS 2025arXiv:2509.23024

#83

Selective Unlearning via Representation Erasure Using Domain Adversarial Training

Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.

Tracing the Representation Geometry of Language Models from Pretraining to Post-training

Melody Li, Kumar Krishna Agrawal, Arna Ghosh et al.

unitary representation learninggroup structure discoveryrepresentation theoryfinite groups+4

#85

Discovering Group Structures via Unitary Representation Learning

Dongsung Huh

ICLR 2025

NeurIPS 2025arXiv:2502.04491

#86

Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning

Ziheng Cheng, Tianyu Xie, Shiyue Zhang et al.

conditional diffusion modelstransfer learningrepresentation learningsample efficiency+2

ICLR 2025arXiv:2502.14047

#87

Towards a learning theory of representation alignment

Francesco Maria Gabriele Insulla, Shuo Huang, Lorenzo Rosasco

representation alignmentlearning theorykernel alignmentrepresentation stitching+4

long-tailed distributionsfeature space skewrepresentation learningclass imbalance+3

#88

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks

Jie Zhao, Chao Chen, Yuanshao Zhu et al.

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

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

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions

Lingjie Yi, Michael Yao, Weimin Lyu et al.

ICLR 2025

ICCV 2025arXiv:2405.14715

#91

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

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

Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models

Young Kyun Jang, Ser-Nam Lim

cross-modal retrievalbackward-compatible trainingvision-language modelsembedding compatibility+2

ICCV 2025arXiv:2507.21049

#93

Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation

Zhaorui Tan, Xi Yang, Tan Pan et al.

LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders

Ilan Naiman, Emanuel Baruch Baruch, Oron Anschel et al.

LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression

Wenjie Huang, Qi Yang, Shuting Xia et al.

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning

Zedong Wang, Siyuan Li, Dan Xu

ICCV 2025arXiv:2411.18651

#97

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning

Shengao Wang, Arjun Chandra, Aoming Liu et al.

Verbalized Representation Learning for Interpretable Few-Shot Generalization

Cheng-Fu Yang, Da Yin, Wenbo Hu et al.

ICCV 2025arXiv:2509.01610

#99

Improving Large Vision and Language Models by Learning from a Panel of Peers

Jefferson Hernandez, Jing Shi, Simon Jenni et al.

#100

Symbolic Representation for Any-to-Any Generative Tasks

Jiaqi Chen, Xiaoye Zhu, Yue Wang et al.

CVPR 2025