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

455 papers, page 1 of 10

1. CVPR 2023ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
2. CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
3. CVPR 2023Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
4. CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
5. CVPR 2023AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation
6. CVPR 2023Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
7. CVPR 2023Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
8. CVPR 2023Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
9. CVPR 2023BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
10. CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
11. CVPR 2023Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
12. CVPR 2023BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
13. CVPR 2023Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
14. CVPR 2023Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
15. CVPR 2023CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
16. CVPR 2023CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
17. CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
18. CVPR 2023Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
19. CVPR 2023Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection
20. CVPR 2023Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
21. CVPR 2023Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning
22. CVPR 2023Correlational Image Modeling for Self-Supervised Visual Pre-Training
23. CVPR 2023DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
24. CVPR 2023Deep Semi-Supervised Metric Learning With Mixed Label Propagation
25. CVPR 2023DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
26. CVPR 2023Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
27. CVPR 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
28. CVPR 2023Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization
29. CVPR 2023DLBD: A Self-Supervised Direct-Learned Binary Descriptor
30. CVPR 2023DrapeNet: Garment Generation and Self-Supervised Draping
31. CVPR 2023DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
32. CVPR 2023DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective
33. CVPR 2023Enhancing the Self-Universality for Transferable Targeted Attacks
34. CVPR 2023EventNeRF: Neural Radiance Fields From a Single Colour Event Camera
35. CVPR 2023Evolved Part Masking for Self-Supervised Learning
36. CVPR 2023Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis
37. CVPR 2023Fully Self-Supervised Depth Estimation From Defocus Clue
38. CVPR 2023Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation
39. CVPR 2023GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training
40. CVPR 2023Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
41. CVPR 2023HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions
42. CVPR 2023Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation
43. CVPR 2023HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
44. CVPR 2023Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
45. CVPR 2023Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images
46. CVPR 2023Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
47. CVPR 2023Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
48. CVPR 2023Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking
49. CVPR 2023LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
50. CVPR 2023Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

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.