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

105 papers, page 2 of 3

51. CVPR 2024Parameter Efficient Self-Supervised Geospatial Domain Adaptation
52. CVPR 2024Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
53. CVPR 2024PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
54. CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
55. CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
56. CVPR 2024Prompt Augmentation for Self-supervised Text-guided Image Manipulation
57. CVPR 2024Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
58. CVPR 2024PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
59. CVPR 2024RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
60. CVPR 2024Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
61. CVPR 2024Relational Matching for Weakly Semi-Supervised Oriented Object Detection
62. CVPR 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
63. CVPR 2024Robust Self-calibration of Focal Lengths from the Fundamental Matrix
64. CVPR 2024SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
65. CVPR 2024SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
66. CVPR 2024SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
67. CVPR 2024SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
68. CVPR 2024SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
69. CVPR 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
70. CVPR 2024Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
71. CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration
72. CVPR 2024Self-correcting LLM-controlled Diffusion Models
73. CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
74. CVPR 2024Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
75. CVPR 2024Self-supervised Debiasing Using Low Rank Regularization
76. CVPR 2024Self-Supervised Dual Contouring
77. CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
78. CVPR 2024Self-Supervised Multi-Object Tracking with Path Consistency
79. CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
80. CVPR 2024SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
81. CVPR 2024SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
82. CVPR 2024Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
83. CVPR 2024ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
84. CVPR 2024SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
85. CVPR 2024Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
86. CVPR 2024Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
87. CVPR 2024SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
88. CVPR 2024SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
89. CVPR 2024Supervised Anomaly Detection for Complex Industrial Images
90. CVPR 2024Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
91. CVPR 2024Targeted Representation Alignment for Open-World Semi-Supervised Learning
92. CVPR 2024Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
93. CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
94. CVPR 2024Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
95. CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
96. CVPR 2024Training Vision Transformers for Semi-Supervised Semantic Segmentation
97. CVPR 2024U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
98. CVPR 2024Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
99. CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
100. CVPR 2024Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

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.