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 4 of 11

151. NeurIPS 2025FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
152. NeurIPS 2025Flux4D: Flow-based Unsupervised 4D Reconstruction
153. NeurIPS 2025Formal Models of Active Learning from Contrastive Examples
154. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
155. NeurIPS 2025From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
156. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
157. NeurIPS 2025Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
158. NeurIPS 2025GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data
159. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
160. NeurIPS 2025Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
161. NeurIPS 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
162. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
163. NeurIPS 2025How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
164. NeurIPS 2025How to build a consistency model: Learning flow maps via self-distillation
165. NeurIPS 2025Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
166. NeurIPS 2025InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
167. NeurIPS 2025Is Limited Participant Diversity Impeding EEG-based Machine Learning?
168. NeurIPS 2025Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
169. NeurIPS 2025Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
170. NeurIPS 2025Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
171. NeurIPS 2025KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
172. NeurIPS 2025Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
173. NeurIPS 2025Language Models can Self-Improve at State-Value Estimation for Better Search
174. NeurIPS 2025Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
175. NeurIPS 2025Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
176. NeurIPS 2025Let LRMs Break Free from Overthinking via Self-Braking Tuning
177. NeurIPS 2025LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
178. NeurIPS 2025LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
179. NeurIPS 2025LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
180. NeurIPS 2025MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
181. NeurIPS 2025Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
182. NeurIPS 2025MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes
183. NeurIPS 2025‌Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
184. NeurIPS 2025Neurons as Detectors of Coherent Sets in Sensory Dynamics
185. NeurIPS 2025Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
186. NeurIPS 2025OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild
187. NeurIPS 2025On Agnostic PAC Learning in the Small Error Regime
188. NeurIPS 2025On the Role of Hidden States of Modern Hopfield Network in Transformer
189. NeurIPS 2025OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
190. NeurIPS 2025Path-Enhanced Contrastive Learning for Recommendation
191. NeurIPS 2025PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
192. NeurIPS 2025PIVNO: Particle Image Velocimetry Neural Operator
193. NeurIPS 2025Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
194. NeurIPS 2025Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
195. NeurIPS 2025QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
196. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
197. NeurIPS 2025Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
198. NeurIPS 2025RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
199. NeurIPS 2025Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
200. NeurIPS 2025Revisiting Semi-Supervised Learning in the Era of Foundation Models

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.