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

532 papers, page 4 of 11

151. ICLR 2026Escaping the Homophily Trap: A Threshold-free Graph Outlier Detection Framework via Clustering-guided Edge Reweighting
152. ICLR 2026FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments
153. ICLR 2026Fine-Grained Class-Conditional Distribution Balancing for Debiased Learning
154. ICLR 2026Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection
155. ICLR 2026Forest-Based Graph Learning for Semi-Supervised Node Classification
156. ICLR 2026Gauge-invariant representation holonomy
157. ICLR 2026Generalization Below the Edge of Stability: The Role of Data Geometry
158. ICLR 2026Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
159. ICLR 2026GmNet: Revisiting Gating Mechanisms From A Frequency View
160. ICLR 2026Guiding Mixture-of-Experts with Temporal Multimodal Interactions
161. ICLR 2026H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Self-Supervised Node Encoding
162. ICLR 2026Hierarchical Prototype Learning for Semantic Segmentation
163. ICLR 2026Huxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
164. ICLR 2026Identifiability and recoverability in self-supervised models
165. ICLR 2026Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation
166. ICLR 2026Improving Set Function Approximation with Quasi-Arithmetic Neural Networks
167. ICLR 2026In Context Semi-Supervised Learning
168. ICLR 2026Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
169. ICLR 2026Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification
170. ICLR 2026Jacobian Aligned Random Forests
171. ICLR 2026JULI: Jailbreak Large Language Models by Self-Introspection
172. ICLR 2026KDP: Simplifying Representation Dynamics in Kernel Space
173. ICLR 2026KLAS: Using Similarity to Stitch Neural Networks for an Improved Accuracy-Efficiency Tradeoff
174. ICLR 2026Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
175. ICLR 2026LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification
176. ICLR 2026Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
177. ICLR 2026LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
178. ICLR 2026Latent Diffusion Model without Variational Autoencoder
179. ICLR 2026Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
180. ICLR 2026LayerSync: Self-aligning Intermediate Layers
181. ICLR 2026Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning
182. ICLR 2026Learning Explicit Single-Cell Dynamics Using ODE Representations
183. ICLR 2026Learning from Label Proportions via Proportional Value Classification
184. ICLR 2026Learning Robust Intervention Representations with Delta Embeddings
185. ICLR 2026Learning Unified Representation of 3D Gaussian Splatting
186. ICLR 2026Let OOD Feature Exploring Vast Predefined Classifiers
187. ICLR 2026LLM DNA: Tracing Model Evolution via Functional Representations
188. ICLR 2026LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
189. ICLR 2026Lossy Common Information in a Learnable Gray-Wyner Network
190. ICLR 2026MAPSS: Manifold-based Assessment of Perceptual Source Separation
191. ICLR 2026Maximizing Asynchronicity in Event-based Neural Networks
192. ICLR 2026Maximizing Incremental Information Entropy for Contrastive Learning
193. ICLR 2026Measuring the Intrinsic Dimension of Earth Representations
194. ICLR 2026Mechanistic Independence: A Principle for Identifiable Disentangled Representations
195. ICLR 2026MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector
196. ICLR 2026Mini-cluster Guided Long-tailed Deep Clustering
197. ICLR 2026Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
198. ICLR 2026Modeling the Density of Pixel-level Self-supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT
199. ICLR 2026Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
200. ICLR 2026Multimodal Classification via Total Correlation Maximization

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.