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

147 papers, page 1 of 3

1. NeurIPS 2025$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
2. NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
3. NeurIPS 20251000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
4. NeurIPS 20253D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
5. NeurIPS 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
6. NeurIPS 2025A Geometric Analysis of PCA
7. NeurIPS 2025A multiscale analysis of mean-field transformers in the moderate interaction regime
8. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
9. NeurIPS 2025Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
10. NeurIPS 2025Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
11. NeurIPS 2025Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
12. NeurIPS 2025Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
13. NeurIPS 2025BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
14. NeurIPS 2025Bayes optimal learning of attention-indexed models
15. NeurIPS 2025BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
16. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
17. NeurIPS 2025BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
18. NeurIPS 2025CG-SSL: Concept-Guided Self-Supervised Learning
19. NeurIPS 2025Coloring Learning for Heterophilic Graph Representation
20. NeurIPS 2025Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
21. NeurIPS 2025Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
22. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
23. NeurIPS 2025Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
24. NeurIPS 2025Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
25. NeurIPS 2025Contrastive Self-Supervised Learning As Neural Manifold Packing
26. NeurIPS 2025Correlation Dimension of Autoregressive Large Language Models
27. NeurIPS 2025CoUn: Empowering Machine Unlearning via Contrastive Learning
28. NeurIPS 2025Dataset Distillation for Pre-Trained Self-Supervised Vision Models
29. NeurIPS 2025Decoupled Entropy Minimization
30. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
31. NeurIPS 2025DisMo: Disentangled Motion Representations for Open-World Motion Transfer
32. NeurIPS 2025Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
33. NeurIPS 2025Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
34. NeurIPS 2025Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
35. NeurIPS 2025E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
36. NeurIPS 2025Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
37. NeurIPS 2025Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
38. NeurIPS 2025Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
39. NeurIPS 2025Exploring Structural Degradation in Dense Representations for Self-supervised Learning
40. NeurIPS 2025FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
41. NeurIPS 2025FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
42. NeurIPS 2025Flux4D: Flow-based Unsupervised 4D Reconstruction
43. NeurIPS 2025Formal Models of Active Learning from Contrastive Examples
44. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
45. NeurIPS 2025From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
46. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
47. NeurIPS 2025Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
48. NeurIPS 2025GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data
49. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
50. NeurIPS 2025Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation

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.