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

497 papers, page 2 of 10

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
84. ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
85. ICLR 2025A Differentiable Rank-Based Objective for Better Feature Learning
86. ICLR 2025A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
87. ICLR 2025A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
88. ICLR 2025Advancing Out-of-Distribution Detection via Local Neuroplasticity
89. ICLR 2025Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
90. ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
91. ICLR 2025An Information Criterion for Controlled Disentanglement of Multimodal Data
92. ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
93. ICLR 2025Artificial Kuramoto Oscillatory Neurons
94. ICLR 2025ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
95. ICLR 2025AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
96. ICLR 2025BANGS: Game-theoretic Node Selection for Graph Self-Training
97. ICLR 2025Bayesian Regularization of Latent Representation
98. ICLR 2025Beyond Random Augmentations: Pretraining with Hard Views
99. ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
100. ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering

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.