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

693 papers, page 8 of 14

351. ICLR 2025Spherical Tree-Sliced Wasserstein Distance
352. ICLR 2025SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
353. ICLR 2025SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
354. ICLR 2025ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
355. ICLR 2025Sylber: Syllabic Embedding Representation of Speech from Raw Audio
356. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
357. ICLR 2025The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
358. ICLR 2025The Belief State Transformer
359. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
360. ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
361. ICLR 2025Three Mechanisms of Feature Learning in a Linear Network
362. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
363. ICLR 2025Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
364. ICLR 2025Towards a learning theory of representation alignment
365. ICLR 2025Towards Calibrated Deep Clustering Network
366. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
367. ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
368. ICLR 2025Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
369. ICLR 2025Training Language Models to Self-Correct via Reinforcement Learning
370. ICLR 2025Training Neural Networks as Recognizers of Formal Languages
371. ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
372. ICLR 2025Transformer Learns Optimal Variable Selection in Group-Sparse Classification
373. ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
374. ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
375. ICLR 2025Unifying Causal Representation Learning with the Invariance Principle
376. ICLR 2025UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
377. ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
378. ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
379. ICLR 2025Unsupervised Model Tree Heritage Recovery
380. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
381. ICLR 2025UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
382. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
383. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
384. ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
385. ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
386. ICLR 2025WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
387. ICLR 2025Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
388. ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
389. ICLR 2025What to align in multimodal contrastive learning?
390. ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
391. ICLR 20243D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
392. ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
393. ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
394. ICLR 2024A Recipe for Improved Certifiable Robustness
395. ICLR 2024A representation-learning game for classes of prediction tasks
396. ICLR 2024Accelerated Sampling with Stacked Restricted Boltzmann Machines
397. ICLR 2024An Investigation of Representation and Allocation Harms in Contrastive Learning
398. ICLR 2024Annealing Self-Distillation Rectification Improves Adversarial Training
399. ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
400. ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation

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.