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

527 papers, page 5 of 11

201. NeurIPS 2025RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
202. NeurIPS 2025Robust Minimax Boosting with Performance Guarantees
203. NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
204. NeurIPS 2025SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization
205. NeurIPS 2025SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
206. NeurIPS 2025Self Iterative Label Refinement via Robust Unlabeled Learning
207. NeurIPS 2025Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
208. NeurIPS 2025Self-Adapting Language Models
209. NeurIPS 2025Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
210. NeurIPS 2025Self-diffusion for Solving Inverse Problems
211. NeurIPS 2025Self-Improving Embodied Foundation Models
212. NeurIPS 2025Self-Refining Language Model Anonymizers via Adversarial Distillation
213. NeurIPS 2025Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
214. NeurIPS 2025Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
215. NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
216. NeurIPS 2025Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
217. NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
218. NeurIPS 2025Self-Supervised Learning of Graph Representations for Network Intrusion Detection
219. NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
220. NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
221. NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
222. NeurIPS 2025Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
223. NeurIPS 2025seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
224. NeurIPS 2025SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data
225. NeurIPS 2025ShapeEmbed: a self-supervised learning framework for 2D contour quantification
226. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
227. NeurIPS 2025Soft Task-Aware Routing of Experts for Equivariant Representation Learning
228. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
229. NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
230. NeurIPS 2025Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
231. NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
232. NeurIPS 2025T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
233. NeurIPS 2025TabDPT: Scaling Tabular Foundation Models on Real Data
234. NeurIPS 2025Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
235. NeurIPS 2025THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
236. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
237. NeurIPS 2025TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
238. NeurIPS 2025Token Bottleneck: One Token to Remember Dynamics
239. NeurIPS 2025Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
240. NeurIPS 2025Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
241. NeurIPS 2025Towards Self-Refinement of Vision-Language Models with Triangular Consistency
242. NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
243. NeurIPS 2025TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
244. NeurIPS 2025TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
245. NeurIPS 2025UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
246. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
247. NeurIPS 2025Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
248. NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
249. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models
250. NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions

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.