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

83 papers, page 2 of 2

51. CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
52. CVPR 2025Probing the Mid-level Vision Capabilities of Self-Supervised Learning
53. CVPR 2025PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
54. CVPR 2025Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers
55. CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
56. CVPR 2025S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation
57. CVPR 2025Sea-ing in Low-light
58. CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
59. CVPR 2025Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
60. CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
61. CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
62. CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
63. CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
64. CVPR 2025SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
65. CVPR 2025Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion
66. CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
67. CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
68. CVPR 2025SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts
69. CVPR 2025SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
70. CVPR 2025Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
71. CVPR 2025SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving
72. CVPR 2025Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
73. CVPR 2025STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
74. CVPR 2025Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
75. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
76. CVPR 2025Transformers without Normalization
77. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
78. CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
79. CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
80. CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
81. CVPR 2025Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
82. CVPR 2025When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
83. CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels

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.