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

72 papers, page 1 of 2

1. ICML 2025A Generalization Theory for Zero-Shot Prediction
2. ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
3. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
4. ICML 2025Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
5. ICML 2025Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
6. ICML 2025Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
7. ICML 2025BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
8. ICML 2025Clustering Properties of Self-Supervised Learning
9. ICML 2025Clustering via Self-Supervised Diffusion
10. ICML 2025Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
11. ICML 2025Collapse-Proof Non-Contrastive Self-Supervised Learning
12. ICML 2025Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
13. ICML 2025DeepLayout: Learning Neural Representations of Circuit Placement Layout
14. ICML 2025Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
15. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
16. ICML 2025Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
17. ICML 2025DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
18. ICML 2025Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
19. ICML 2025Equivalence is All: A Unified View for Self-supervised Graph Learning
20. ICML 2025FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
21. ICML 2025Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
22. ICML 2025Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
23. ICML 2025Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
24. ICML 2025HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
25. ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
26. ICML 2025Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
27. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
28. ICML 2025Learning Efficient Robotic Garment Manipulation with Standardization
29. ICML 2025LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
30. ICML 2025Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
31. ICML 2025NeuronTune: Towards Self-Guided Spurious Bias Mitigation
32. ICML 2025Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
33. ICML 2025On the Importance of Embedding Norms in Self-Supervised Learning
34. ICML 2025On the Out-of-Distribution Generalization of Self-Supervised Learning
35. ICML 2025One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
36. ICML 2025PhySpec: Physically Consistent Spectral Reconstruction via Orthogonal Subspace Decomposition and Self-Supervised Meta-Auxiliary Learning
37. ICML 2025Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
38. ICML 2025Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
39. ICML 2025Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
40. ICML 2025Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
41. ICML 2025Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
42. ICML 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
43. ICML 2025Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
44. ICML 2025Rethinking Chain-of-Thought from the Perspective of Self-Training
45. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
46. ICML 2025Robust Autonomy Emerges from Self-Play
47. ICML 2025Sample-Optimal Agnostic Boosting with Unlabeled Data
48. ICML 2025scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
49. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
50. ICML 2025Self-Consistency Preference Optimization

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.