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

62 papers, page 1 of 2

1. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
2. ICML 2024Auto-Linear Phenomenon in Subsurface Imaging
3. ICML 2024Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
4. ICML 2024Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
5. ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
6. ICML 2024Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
7. ICML 2024Classification Under Strategic Self-Selection
8. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
9. ICML 2024Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
10. ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
11. ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
12. ICML 2024Deep Neural Room Acoustics Primitive
13. ICML 2024Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
14. ICML 2024Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
15. ICML 2024Explorations of Self-Repair in Language Models
16. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
17. ICML 2024Federated Self-Explaining GNNs with Anti-shortcut Augmentations
18. ICML 2024FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
19. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
20. ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
21. ICML 2024From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
22. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
23. ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
24. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
25. ICML 2024Information Flow in Self-Supervised Learning
26. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
27. ICML 2024Learning to Model the World With Language
28. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
29. ICML 2024MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
30. ICML 2024Matrix Information Theory for Self-Supervised Learning
31. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
32. ICML 2024Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
33. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
34. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
35. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport
36. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
37. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
38. ICML 2024Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
39. ICML 2024SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
40. ICML 2024Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
41. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
42. ICML 2024Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
43. ICML 2024Self-Composing Policies for Scalable Continual Reinforcement Learning
44. ICML 2024Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
45. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
46. ICML 2024Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
47. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
48. ICML 2024Self-Rewarding Language Models
49. ICML 2024Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
50. ICML 2024Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity

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.