Representation Learning

ICLR 2024arXiv:2310.08576

#2

Learning to Act from Actionless Videos through Dense Correspondences

Po-Chen Ko, Jiayuan Mao, Yilun Du et al.

160

ICLR 2025arXiv:2401.14404

#3

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Xinlei Chen, Zhuang Liu, Saining Xie et al.

95

CVPR 2024arXiv:2311.10707

#4

Multimodal Representation Learning by Alternating Unimodal Adaptation

Xiaohui Zhang, Jaehong Yoon, Mohit Bansal et al.

80

CVPR 2024arXiv:2311.17901

#5

SODA: Bottleneck Diffusion Models for Representation Learning

Drew Hudson, Daniel Zoran, Mateusz Malinowski et al.

79

ICLR 2024arXiv:2312.10812

#6

Learning to Act without Actions

Dominik Schmidt, Minqi Jiang

78

CVPR 2024arXiv:2312.17742

#7

Learning Vision from Models Rivals Learning Vision from Data

Yonglong Tian, Lijie Fan, Kaifeng Chen et al.

77

CVPR 2025arXiv:2412.00493

#8

Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding

Duo Zheng, Shijia Huang, Liwei Wang

3d scene understandingmultimodal large language modelsposition-aware video representationvideo representation alignment+2

70

ICML 2024arXiv:2402.15567

#9

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

#10

Exploring Target Representations for Masked Autoencoders

xingbin liu, Jinghao Zhou, Tao Kong et al.

59

ICLR 2024arXiv:2403.12143

#11

Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning

Zichen Miao, Jiang Wang, Ze Wang et al.

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

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

53

ECCV 2024arXiv:2402.19091

#13

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection

Christos Koutlis, Symeon Papadopoulos

50

ICML 2024arXiv:2402.05052

#14

Causal Representation Learning from Multiple Distributions: A General Setting

Kun Zhang, Shaoan Xie, Ignavier Ng et al.

causal representation learningnonparametric settingmultiple distributionslatent causal variables+4

49

ICCV 2025arXiv:2504.20995

#15

Learning 4D Embodied World Models

Haoyu Zhen, Qiao Sun, Hongxin Zhang et al.

4d world modelsembodied agent actionsrgb-dn video generationinverse dynamic models+4

45

ICLR 2024arXiv:2401.08898

#16

Bridging State and History Representations: Understanding Self-Predictive RL

Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi et al.

44

CVPR 2025arXiv:2503.16429

#17

Sonata: Self-Supervised Learning of Reliable Point Representations

Xiaoyang Wu, Daniel DeTone, Duncan Frost et al.

44

CVPR 2024arXiv:2312.07330

#18

Learned Representation-Guided Diffusion Models for Large-Image Generation

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

43

CVPR 2024arXiv:2401.01862

#19

A Vision Check-up for Language Models

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad et al.

42

ICML 2024arXiv:2402.16785

#20

CARTE: Pretraining and Transfer for Tabular Learning

Myung Jun Kim, Leo Grinsztajn, Gael Varoquaux

tabular data pretrainingtransfer learningdata integrationentity matching+4

42

ICCV 2025arXiv:2504.01017

#21

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

41

CVPR 2024arXiv:2404.01491

#22

Disentangled Prompt Representation for Domain Generalization

De Cheng, Zhipeng Xu, XINYANG JIANG et al.

SUGAR: Pre-training 3D Visual Representations for Robotics

Shizhe Chen, Ricardo Garcia Pinel, Ivan Laptev et al.

37

ICLR 2024arXiv:2403.12448

#24

Do Generated Data Always Help Contrastive Learning?

Yifei Wang, Jizhe Zhang, Yisen Wang

contrastive learningdata inflationdiffusion modelsunsupervised representation learning+3

35

NEURIPS 2025arXiv:2507.01467

#25

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

33

ICLR 2024arXiv:2401.11430

#26

Exploring Diffusion Time-steps for Unsupervised Representation Learning

Zhongqi Yue, Zhongqi Yue, Jiankun Wang et al.

32

CVPR 2024arXiv:2403.02138

#27

Self-Supervised Facial Representation Learning with Facial Region Awareness

Zheng Gao, Ioannis Patras

29

ICML 2024arXiv:2406.09997

#28

Towards Scalable and Versatile Weight Space Learning

Konstantin Schürholt, Michael Mahoney, Damian Borth

weight space learninghyper-representationsneural network embeddingssequential weight processing+3

29

ECCV 2024arXiv:2403.11561

#29

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

Liren He, Zhengkai Jiang, Jinlong Peng et al.

anomaly detectionmulti-class anomaly detectionreconstruction-based methodslearnable reference representation+4

28

ICLR 2024arXiv:2402.01935

#30

CODE REPRESENTATION LEARNING AT SCALE

Dejiao Zhang, Wasi Ahmad, Ming Tan et al.

27

ECCV 2024arXiv:2311.17921

#31

Do text-free diffusion models learn discriminative visual representations?

Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi et al.

diffusion modelsunsupervised representation learningu-net feature mapsattention mechanism+4

27

CVPR 2024arXiv:2403.09639

#32

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

ICLR 2025arXiv:2410.22325

#33

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

ICLR 2024arXiv:2311.04193

#34

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan et al.

ICLR 2025arXiv:2407.05441

#35

Language Representations Can be What Recommenders Need: Findings and Potentials

Leheng Sheng, An Zhang, Yi Zhang et al.

language modelsrecommender systemscollaborative filteringrepresentation learning+4

CVPR 2024arXiv:2406.07876

#36

Small Scale Data-Free Knowledge Distillation

He Liu, Yikai Wang, Huaping Liu et al.

25

CVPR 2025arXiv:2503.08497

#37

MMRL: Multi-Modal Representation Learning for Vision-Language Models

Yuncheng Guo, Xiaodong Gu

25

ECCV 2024arXiv:2312.05328

#38

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding

Talfan Evans, Shreya Pathak, Hamza Merzic et al.

active learningdata efficiencyvisual understandingmultimodal models+4

25

ICML 2024arXiv:2407.13237

#39

LLM-Empowered State Representation for Reinforcement Learning

Boyuan Wang, Yun Qu, Yuhang Jiang et al.

state representationreinforcement learninglarge language modelssample efficiency+3

24

ICLR 2025arXiv:2410.08208

#40

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation

Haoyi Zhu, Honghui Yang, Yating Wang et al.

embodied representation learning3d spatial awarenessdifferentiable neural renderingmulti-view images+3

24

AAAI 2024arXiv:2308.09517

#41

Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity

Van Thuy Hoang, O-Joun Lee

24

CVPR 2024arXiv:2403.10897

#42

Rethinking Multi-view Representation Learning via Distilled Disentangling

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

multi-view representation learningdistilled disentanglingmasked cross-view predictionview-consistent representations+2

23

ECCV 2024arXiv:2407.10910

#43

DataDream: Few-shot Guided Dataset Generation

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

few-shot learningdataset generationdiffusion modelsimage classification+3

23

ICLR 2024arXiv:2310.04486

#44

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

Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere

NEURIPS 2025arXiv:2506.01946

#45

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

ECCV 2024arXiv:2404.01300

#46

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.

masked autoencodersneural radiance fields3d representation learningself-supervised pretraining+4

ICLR 2025arXiv:2410.02223

#47

EmbedLLM: Learning Compact Representations of Large Language Models

Richard Zhuang, Tianhao Wu, Zhaojin Wen et al.

ICLR 2024arXiv:2310.18348

#48

Meaning Representations from Trajectories in Autoregressive Models

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

ICLR 2025arXiv:2411.02372

#49

Targeted Representation Alignment for Open-World Semi-Supervised Learning

Ruixuan Xiao, Lei Feng, Kai Tang et al.

Learning General-purpose Biomedical Volume Representations using Randomized Synthesis

Neel Dey, Benjamin Billot, Hallee Wong et al.

20

ICLR 2024arXiv:2403.11391

#51

Investigating the Benefits of Projection Head for Representation Learning

Yihao Xue, Eric Gan, Jiayi Ni et al.

20

ICLR 2024arXiv:2310.00927

#52

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

Youhan Lee, Hasun Yu, Jaemyung Lee et al.

Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP

Zixiang Chen, Yihe Deng, Yuanzhi Li et al.

20

ICLR 2024arXiv:2311.16160

#54

Protein-ligand binding representation learning from fine-grained interactions

Shikun Feng, Minghao Li, Yinjun JIA et al.

19

ICLR 2024arXiv:2402.18759

#55

Learning with Language-Guided State Abstractions

Andi Peng, Ilia Sucholutsky, Belinda Li et al.

19

ICML 2025arXiv:2502.13142

#56

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

Dantong Niu, Yuvan Sharma, Haoru Xue et al.

19

ICLR 2024arXiv:2306.00788

#57

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

Runtian Zhai, Bingbin Liu, Andrej Risteski et al.

18

CVPR 2024arXiv:2403.16398

#58

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

Xinting Liao, Weiming Liu, Chaochao Chen et al.

18

AAAI 2024arXiv:2403.04599

#59

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

17

ICLR 2024arXiv:2310.07756

#60

Self-supervised Representation Learning from Random Data Projectors

Yi Sui, Tongzi Wu, Jesse Cresswell et al.

17

ICLR 2025arXiv:2410.21869

#61

Cross-Entropy Is All You Need To Invert the Data Generating Process

Patrik Reizinger, Alice Bizeul, Attila Juhos et al.

17

ICLR 2024arXiv:2307.09912

#62

Learning invariant representations of time-homogeneous stochastic dynamical systems

Vladimir Kostic, Pietro Novelli, Riccardo Grazzi et al.

ECCV 2024arXiv:2407.15837

#63

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

Yibing Wei, Abhinav Gupta, Pedro Morgado

masked image modelingself-supervised learninglatent space reconstructionrepresentation learning+2

ICLR 2024arXiv:2306.05423

#64

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process

Changyao Tian, Chenxin Tao, Jifeng Dai et al.

ICLR 2024arXiv:2310.07932

#65

What Matters to You? Towards Visual Representation Alignment for Robot Learning

Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka et al.

ICLR 2024arXiv:2403.10760

#66

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

Yoonyoung Cho, Junhyek Han, Yoontae Cho et al.

AAAI 2025arXiv:2408.12116

#67

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

Junlin He, Tong Nie, Wei Ma

15

ICLR 2024arXiv:2312.08515

#68

Simplicial Representation Learning with Neural $k$-Forms

Kelly Maggs, Celia Hacker, Bastian Rieck

15

ICLR 2024arXiv:2310.06089

#69

Predictive auxiliary objectives in deep RL mimic learning in the brain

Ching Fang, Kimberly Stachenfeld

15

ICLR 2024arXiv:2308.04428

#70

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data

Thomas T. Zhang, Leonardo Felipe Toso, James Anderson et al.

CVPR 2025arXiv:2501.04004

#71

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes

Xiang Xu, Lingdong Kong, hui shuai et al.

AAAI 2024arXiv:2306.03364

#72

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning

Nicolas Michel, Giovanni Chierchia, Romain Negrel et al.

unit sphere representationsangular gaussian distributionvon mises-fisher distributiononline continual learning+2

CVPR 2024arXiv:2402.02352

#73

Region-Based Representations Revisited

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

region-based representationssemantic segmentationobject-based image retrievalmulti-image analysis+4

AAAI 2024arXiv:2312.10422

#74

Learning Dense Correspondence for NeRF-Based Face Reenactment

Songlin Yang, Wei Wang, Yushi Lan et al.

ICML 2025arXiv:2502.00848

#75

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

Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang et al.

ICML 2024arXiv:2402.18137

#76

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

Jianxiong Li, Jinliang Zheng, Yinan Zheng et al.

multimodal pretrainingembodied representation learningimplicit preference learningtemporal consistency+4

ECCV 2024arXiv:2407.04458

#77

Robust Multimodal Learning via Representation Decoupling

Shicai Wei, Yang Luo, Yuji Wang et al.

CVPR 2024arXiv:2312.09056

#78

ReCoRe: Regularized Contrastive Representation Learning of World Model

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

contrastive representation learningworld modelreinforcement learningvisual navigation+4

ICML 2024arXiv:2312.02147

#79

Rejuvenating image-GPT as Strong Visual Representation Learners

Sucheng Ren, Zeyu Wang, Hongru Zhu et al.

autoregressive pretrainingvisual representation learningsemantic token predictionvision transformer+2

AAAI 2024arXiv:2312.15909

#80

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

ICLR 2024arXiv:2109.03386

#81

On Characterizing the Trade-off in Invariant Representation Learning

Vishnu Boddeti, Sepehr Dehdashtian, Bashir Sadeghi

ICML 2025arXiv:2503.01776

#82

Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

Tiansheng Wen, Yifei Wang, Zequn Zeng et al.

ICLR 2025arXiv:2504.16929

#83

A Unifying Framework for Representation Learning

Shaden Alshammari, John Hershey, Axel Feldmann et al.

representation learningloss functionsinformation geometrycontrastive learning+4

ICML 2024arXiv:2307.06887

#84

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks

Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi et al.

multi-task learningrepresentation learningfeature learningtwo-layer neural networks+4

AAAI 2025arXiv:2412.09220

#85

USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

Wanjiang Weng, Hongsong Wang, Junbo Wang et al.

AAAI 2024arXiv:2312.11872

#86

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

ICLR 2025arXiv:2410.03006

#87

Unsupervised Gaze Representation Learning from Multi-view Face Images

Yiwei Bao, Feng Lu

Formation of Representations in Neural Networks

Liu Ziyin, Isaac Chuang, Tomer Galanti et al.

neural representationscanonical representation hypothesispolynomial alignment hypothesisgradient noise regularization+4

ECCV 2024arXiv:2407.15843

#89

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection

Hongquan Zhang, Bin-Bin Gao, Yi Zeng et al.

CarFormer: Self-Driving with Learned Object-Centric Representations

Shadi Hamdan, Fatma Guney

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

ICML 2024arXiv:2405.06263

#91

Learning Latent Dynamic Robust Representations for World Models

Ruixiang Sun, Hongyu Zang, Xin Li et al.

model-based reinforcement learningworld modelsspatio-temporal maskingbisimulation principle+4

ICLR 2025arXiv:2410.01280

#92

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Can Demircan, Tankred Saanum, Akshay Jagadish et al.

ICML 2024arXiv:2403.11998

#93

Learning Useful Representations of Recurrent Neural Network Weight Matrices

Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

recurrent neural networksweight matrix representationspermutation equivariant layersfunctionalist approach analysis+4

ICML 2024arXiv:2406.04596

#94

Federated Representation Learning in the Under-Parameterized Regime

Renpu Liu, Cong Shen, Jing Yang

federated representation learningunder-parameterized regimepersonalized federated learninglow-rank matrix approximation+3

ICLR 2024arXiv:2310.10833

#95

Proper Laplacian Representation Learning

Diego Gomez, Michael Bowling, Marlos C. Machado

AAAI 2024arXiv:2309.02028

#96

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

kernel methodsrepresentation learningself-supervised learningcontrastive learning+4

CVPR 2025arXiv:2503.15096

#97

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

Yang Liu, Qianqian Xu, Peisong Wen et al.

masked video modelingtemporal correspondence learningvideo representation learningself-supervised learning+3

CVPR 2025arXiv:2412.04077

#98

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language

zehan wang, Sashuai zhou, Shaoxuan He et al.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning

Seokju Yun, Seunghye Chae, Dongheon Lee et al.

domain generalizationparameter efficient fine tuningsingular value decompositionsemantic segmentation+4

10

#100

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

Yichen Xie, Runsheng Xu, Tong He et al.

CVPR 2025

10