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 5 of 10

201. ICLR 2025Preserving Diversity in Supervised Fine-Tuning of Large Language Models
202. ICLR 2025Progress or Regress? Self-Improvement Reversal in Post-training
203. ICLR 2025Progressive distillation induces an implicit curriculum
204. ICLR 2025Projection Head is Secretly an Information Bottleneck
205. ICLR 2025Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
206. ICLR 2025Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
207. ICLR 2025Realistic Evaluation of Deep Partial-Label Learning Algorithms
208. ICLR 2025Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
209. ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
210. ICLR 2025Repetition Improves Language Model Embeddings
211. ICLR 2025Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
212. ICLR 2025Rethinking Multiple-Instance Learning From Feature Space to Probability Space
213. ICLR 2025Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
214. ICLR 2025Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
215. ICLR 2025Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
216. ICLR 2025SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
217. ICLR 2025Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
218. ICLR 2025Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
219. ICLR 2025SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
220. ICLR 2025Score-based Self-supervised MRI Denoising
221. ICLR 2025SEBRA : Debiasing through Self-Guided Bias Ranking
222. ICLR 2025Self-Attention-Based Contextual Modulation Improves Neural System Identification
223. ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
224. ICLR 2025Self-Improving Robust Preference Optimization
225. ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
226. ICLR 2025Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
227. ICLR 2025Self-supervised contrastive learning performs non-linear system identification
228. ICLR 2025Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
229. ICLR 2025Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
230. ICLR 2025Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
231. ICLR 2025SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
232. ICLR 2025SFESS: Score Function Estimators for $k$-Subset Sampling
233. ICLR 2025SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
234. ICLR 2025SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination
235. ICLR 2025SoftCVI: Contrastive variational inference with self-generated soft labels
236. ICLR 2025SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
237. ICLR 2025SparsyFed: Sparse Adaptive Federated Learning
238. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
239. ICLR 2025Spherical Tree-Sliced Wasserstein Distance
240. ICLR 2025SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
241. ICLR 2025SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
242. ICLR 2025ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
243. ICLR 2025Sylber: Syllabic Embedding Representation of Speech from Raw Audio
244. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
245. ICLR 2025The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
246. ICLR 2025The Belief State Transformer
247. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
248. ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
249. ICLR 2025Three Mechanisms of Feature Learning in a Linear Network
250. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

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.