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

195 papers, page 4 of 4

151. ICLR 2025SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination
152. ICLR 2025SoftCVI: Contrastive variational inference with self-generated soft labels
153. ICLR 2025SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
154. ICLR 2025SparsyFed: Sparse Adaptive Federated Learning
155. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
156. ICLR 2025Spherical Tree-Sliced Wasserstein Distance
157. ICLR 2025SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
158. ICLR 2025SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
159. ICLR 2025ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
160. ICLR 2025Sylber: Syllabic Embedding Representation of Speech from Raw Audio
161. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
162. ICLR 2025The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
163. ICLR 2025The Belief State Transformer
164. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
165. ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
166. ICLR 2025Three Mechanisms of Feature Learning in a Linear Network
167. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
168. ICLR 2025Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
169. ICLR 2025Towards a learning theory of representation alignment
170. ICLR 2025Towards Calibrated Deep Clustering Network
171. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
172. ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
173. ICLR 2025Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
174. ICLR 2025Training Language Models to Self-Correct via Reinforcement Learning
175. ICLR 2025Training Neural Networks as Recognizers of Formal Languages
176. ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
177. ICLR 2025Transformer Learns Optimal Variable Selection in Group-Sparse Classification
178. ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
179. ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
180. ICLR 2025Unifying Causal Representation Learning with the Invariance Principle
181. ICLR 2025UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
182. ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
183. ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
184. ICLR 2025Unsupervised Model Tree Heritage Recovery
185. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
186. ICLR 2025UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
187. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
188. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
189. ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
190. ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
191. ICLR 2025WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
192. ICLR 2025Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
193. ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
194. ICLR 2025What to align in multimodal contrastive learning?
195. ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection

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.