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

497 papers, page 6 of 10

251. ICLR 2025Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
252. ICLR 2025Towards a learning theory of representation alignment
253. ICLR 2025Towards Calibrated Deep Clustering Network
254. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
255. ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
256. ICLR 2025Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
257. ICLR 2025Training Language Models to Self-Correct via Reinforcement Learning
258. ICLR 2025Training Neural Networks as Recognizers of Formal Languages
259. ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
260. ICLR 2025Transformer Learns Optimal Variable Selection in Group-Sparse Classification
261. ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
262. ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
263. ICLR 2025Unifying Causal Representation Learning with the Invariance Principle
264. ICLR 2025UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
265. ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
266. ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
267. ICLR 2025Unsupervised Model Tree Heritage Recovery
268. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
269. ICLR 2025UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
270. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
271. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
272. ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
273. ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
274. ICLR 2025WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
275. ICLR 2025Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
276. ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
277. ICLR 2025What to align in multimodal contrastive learning?
278. ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
279. ICML 2025A Generalization Theory for Zero-Shot Prediction
280. ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
281. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
282. ICML 2025Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
283. ICML 2025Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
284. ICML 2025Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
285. ICML 2025BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
286. ICML 2025Clustering Properties of Self-Supervised Learning
287. ICML 2025Clustering via Self-Supervised Diffusion
288. ICML 2025Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
289. ICML 2025Collapse-Proof Non-Contrastive Self-Supervised Learning
290. ICML 2025Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
291. ICML 2025DeepLayout: Learning Neural Representations of Circuit Placement Layout
292. ICML 2025Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
293. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
294. ICML 2025Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
295. ICML 2025DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
296. ICML 2025Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
297. ICML 2025Equivalence is All: A Unified View for Self-supervised Graph Learning
298. ICML 2025FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
299. ICML 2025Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
300. ICML 2025Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion

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.