Deep learning · self supervised learning papers, 2023–2026

Key findings

• Deep learning · self supervised learning went from 455 papers in 2023 to 534 in 2026, roughly 1.2x in three years.
• ICLR publishes the most Deep learning · self supervised learning work: 693 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with General ML · unsupervised and semisupervised learning: papers tagged with both rose from 23 in 2023 to 86 in 2026.
• Among the 11 topics under Deep Learning, it ranks #4 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Attending on Attention ($A^2$): Smaller Self-Supervised ViTs Localize Better Than Larger Ones
• ICML 20263D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026A Stitch in Time Learning Procedural Workflow via Self-Supervised Plackett-Luce
• NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
• ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
• ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
• ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
• ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
• CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
• NeurIPS 2026AudioSphere: Towards Self-Supervised Spatial Audio Representation Models
• ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
• ICLR 2026Angle K-Means
• CVPR 2026Action Motifs Self-Supervised Hierarchical Representation of Human Body Movements

All Deep learning · self supervised learning papers

92 papers, page 2 of 2

51. CVPR 2026ReFlow Self-correction Motion Learning for Dynamic Scene Reconstruction
52. CVPR 2026ReSAM Refine Requery and Reinforce Self-Prompting Point-Supervised Segmentation for Remote
53. CVPR 2026Rethinking Box Supervision Bias-Free Weakly Supervised Medical Segmentation
54. CVPR 2026Revisiting the Necessity of Full Accuracy Weakly Supervised Object-Level Offset
55. CVPR 2026Rewis3d Reconstruction Improves Weakly-Supervised Semantic Segmentation
56. CVPR 2026RiskProp Collision-Anchored Self-Supervised Risk Propagation For Early Accident Anticipation
57. CVPR 2026RNN as Linear Transformer A Closer Investigation into Representational Potentials
58. CVPR 2026RoSAMDepth Robust Self-supervised Depth Estimation Leveraging Segment Anything Model
59. CVPR 2026Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
60. CVPR 2026SCAPO Self-Supervised Category-Level Articulated Pose Estimation from a Single 3D
61. CVPR 2026SDUIE Semi-Supervised Diffusion for Underwater Image Enhancement with Quant-Text Dual
62. CVPR 2026SECOS Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning
63. CVPR 2026SeeGroup Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping
64. CVPR 2026Seeing What Matters A Training-Free Self-Guided Framework for Multimodal Detail
65. CVPR 2026Self-Attention Driven Tensor Representation for High-Order Data Recovery
66. CVPR 2026Self-Diffusion Driven Blind Imaging
67. CVPR 2026Self-guided Semantic Inspection for Zero-Shot Composed Image Retrieval
68. CVPR 2026Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration
69. CVPR 2026SelfHVD Self-Supervised Handheld Video Deblurring
70. CVPR 2026Selfi Self-improving Reconstruction Engine via 3D Geometric Feature Alignment
71. CVPR 2026Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
72. CVPR 2026SGDE Self-supervised Geometry Degradation Estimation Framework for Coded Aperture Compressive
73. CVPR 2026Spatial-SSRL Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
74. CVPR 2026SRA 2 Variational Autoencoder Self-Representation Alignment for Efficient Diffusion
75. CVPR 2026Teaching DINOv3 About Partial 3D Geometry A Self-Supervised Geometry-Aware Approach
76. CVPR 2026TeFlow Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
77. CVPR 2026TerraSeg Self-Supervised Ground Segmentation for Any LiDAR
78. CVPR 2026The Road Less Seen Segment Exploration for Weakly Supervised Video
79. CVPR 2026TimeBridge Self-Supervised Video Representation Learning via Start-End Joint Embedding and
80. CVPR 2026TM-BSN Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising
81. CVPR 2026Towards Foundation Models for 3D Scene Understanding Instance-Aware Self-Supervised Learning
82. CVPR 2026Towards Stable Self-Supervised Object Representations in Unconstrained Egocentric Video
83. CVPR 2026TriLite Efficient Weakly Supervised Object Localization with Universal Visual Features
84. CVPR 2026TRivia Self-supervised Fine-tuning of Vision-Language Models for Table Recognition
85. CVPR 2026UniRefiner Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register
86. CVPR 2026Unlocking Positive Transfer in Incrementally Learning Surgical Instruments A Self-reflection
87. CVPR 2026Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy
88. CVPR 2026VGGT-Segmentor Geometry-Enhanced Cross-View Segmentation
89. CVPR 2026VideoSSR Video Self-Supervised Reinforcement Learning
90. CVPR 2026When Local Rules Create Global Order Self-Organized Representation Learning for
91. CVPR 2026Why Not Hyperparameter-Friendly Optimisation A Monotonic Adaptive Norm Rescaling Approach
92. CVPR 2026WildRayZer Self-supervised Large View Synthesis in Dynamic Environments

FAQ

How many Deep learning · self supervised learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,958 in total: 455 in 2023, 472 in 2024, 497 in 2025, 534 in 2026.

How many Deep learning · self supervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 110 Deep learning · self supervised learning papers, versus 147 the year before.

How many Deep learning · self supervised learning papers are at ICLR 2026?

ICLR 2026 has 195 Deep learning · self supervised learning papers, versus 195 the year before.

How many Deep learning · self supervised learning papers are at ICML 2026?

ICML 2026 has 135 Deep learning · self supervised learning papers, versus 72 the year before.

How many Deep learning · self supervised learning papers are at CVPR 2026?

CVPR 2026 has 94 Deep learning · self supervised learning papers, versus 83 the year before.

Which conference publishes the most Deep learning · self supervised learning papers?

ICLR, with 693 papers from 2023 to 2026.