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

195 papers, page 1 of 4

1. ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
2. ICLR 2025A Differentiable Rank-Based Objective for Better Feature Learning
3. ICLR 2025A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
4. ICLR 2025A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
5. ICLR 2025Advancing Out-of-Distribution Detection via Local Neuroplasticity
6. ICLR 2025Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
7. ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
8. ICLR 2025An Information Criterion for Controlled Disentanglement of Multimodal Data
9. ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
10. ICLR 2025Artificial Kuramoto Oscillatory Neurons
11. ICLR 2025ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
12. ICLR 2025AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
13. ICLR 2025BANGS: Game-theoretic Node Selection for Graph Self-Training
14. ICLR 2025Bayesian Regularization of Latent Representation
15. ICLR 2025Beyond Random Augmentations: Pretraining with Hard Views
16. ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
17. ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
18. ICLR 2025Can We Ignore Labels in Out of Distribution Detection?
19. ICLR 2025CAX: Cellular Automata Accelerated in JAX
20. ICLR 2025CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement
21. ICLR 2025COME: Test-time Adaption by Conservatively Minimizing Entropy
22. ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
23. ICLR 2025Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
24. ICLR 2025Contextual Document Embeddings
25. ICLR 2025Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding
26. ICLR 2025Contrastive Learning from Synthetic Audio Doppelgängers
27. ICLR 2025COPER: Correlation-based Permutations for Multi-View Clustering
28. ICLR 2025CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
29. ICLR 2025CREAM: Consistency Regularized Self-Rewarding Language Models
30. ICLR 2025Cross-Entropy Is All You Need To Invert the Data Generating Process
31. ICLR 2025CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
32. ICLR 2025CtD: Composition through Decomposition in Emergent Communication
33. ICLR 2025Data Pruning by Information Maximization
34. ICLR 2025Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
35. ICLR 2025Dataset Ownership Verification in Contrastive Pre-trained Models
36. ICLR 2025DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
37. ICLR 2025Deconstructing Denoising Diffusion Models for Self-Supervised Learning
38. ICLR 2025DEEM: Diffusion models serve as the eyes of large language models for image perception
39. ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
40. ICLR 2025Difference-of-submodular Bregman Divergence
41. ICLR 2025Discovering Group Structures via Unitary Representation Learning
42. ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
43. ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
44. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
45. ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance
46. ICLR 2025Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
47. ICLR 2025Dreamweaver: Learning Compositional World Models from Pixels
48. ICLR 2025DRL: Decomposed Representation Learning for Tabular Anomaly Detection
49. ICLR 2025Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
50. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax

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.