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

108 papers, page 1 of 3

1. ICLR 2023A Message Passing Perspective on Learning Dynamics of Contrastive Learning
2. ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
3. ICLR 2023A Non-monotonic Self-terminating Language Model
4. ICLR 2023A theoretical study of inductive biases in contrastive learning
5. ICLR 2023A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
6. ICLR 2023Advancing Radiograph Representation Learning with Masked Record Modeling
7. ICLR 2023Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
8. ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
9. ICLR 2023Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
10. ICLR 2023ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
11. ICLR 2023BrainBERT: Self-supervised representation learning for intracranial recordings
12. ICLR 2023Bridging the Gap to Real-World Object-Centric Learning
13. ICLR 2023CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
14. ICLR 2023CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
15. ICLR 2023Concept-level Debugging of Part-Prototype Networks
16. ICLR 2023Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
17. ICLR 2023Continual Unsupervised Disentangling of Self-Organizing Representations
18. ICLR 2023Contrastive Audio-Visual Masked Autoencoder
19. ICLR 2023Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
20. ICLR 2023Corrupted Image Modeling for Self-Supervised Visual Pre-Training
21. ICLR 2023DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
22. ICLR 2023Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
23. ICLR 2023Denoising Masked Autoencoders Help Robust Classification
24. ICLR 2023Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
25. ICLR 2023Dichotomy of Control: Separating What You Can Control from What You Cannot
26. ICLR 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
27. ICLR 2023DINO as a von Mises-Fisher mixture model
28. ICLR 2023Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
29. ICLR 2023Don’t fear the unlabelled: safe semi-supervised learning via debiasing
30. ICLR 2023Effective Self-supervised Pre-training on Low-compute Networks without Distillation
31. ICLR 2023Energy-Inspired Self-Supervised Pretraining for Vision Models
32. ICLR 2023EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
33. ICLR 2023Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
34. ICLR 2023FIGARO: Controllable Music Generation using Learned and Expert Features
35. ICLR 2023FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
36. ICLR 2023Generating Sequences by Learning to Self-Correct
37. ICLR 2023HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
38. ICLR 2023How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
39. ICLR 2023Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
40. ICLR 2023Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
41. ICLR 2023InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
42. ICLR 2023Interaction-Based Disentanglement of Entities for Object-Centric World Models
43. ICLR 2023Jointly Learning Visual and Auditory Speech Representations from Raw Data
44. ICLR 2023Label Propagation with Weak Supervision
45. ICLR 2023Learning Group Importance using the Differentiable Hypergeometric Distribution
46. ICLR 2023LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
47. ICLR 2023Masked Frequency Modeling for Self-Supervised Visual Pre-Training
48. ICLR 2023Masked Image Modeling with Denoising Contrast
49. ICLR 2023Masked Unsupervised Self-training for Label-free Image Classification
50. ICLR 2023MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors

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.