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 4 of 10

151. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
152. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
153. ICLR 2025I-Con: A Unifying Framework for Representation Learning
154. ICLR 2025Identification of Intermittent Temporal Latent Process
155. ICLR 2025Improving Deep Regression with Tightness
156. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
157. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
158. ICLR 2025Instance-dependent Early Stopping
159. ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
160. ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
161. ICLR 2025Isometric Regularization for Manifolds of Functional Data
162. ICLR 2025JPEG Inspired Deep Learning
163. ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
164. ICLR 2025Large Convolutional Model Tuning via Filter Subspace
165. ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
166. ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
167. ICLR 2025Learning Mask Invariant Mutual Information for Masked Image Modeling
168. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
169. ICLR 2025Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
170. ICLR 2025LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
171. ICLR 2025Looped Transformers for Length Generalization
172. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
173. ICLR 2025Matérn Kernels for Tunable Implicit Surface Reconstruction
174. ICLR 2025Memory Mosaics
175. ICLR 2025MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
176. ICLR 2025MIND over Body: Adaptive Thinking using Dynamic Computation
177. ICLR 2025Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
178. ICLR 2025Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
179. ICLR 2025Mixture of In-Context Prompters for Tabular PFNs
180. ICLR 2025More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
181. ICLR 2025Morphing Tokens Draw Strong Masked Image Models
182. ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
183. ICLR 2025Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
184. ICLR 2025Near, far: Patch-ordering enhances vision foundation models' scene understanding
185. ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
186. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
187. ICLR 2025Object-Centric Pretraining via Target Encoder Bootstrapping
188. ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
189. ICLR 2025On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
190. ICLR 2025On the Optimal Memorization Capacity of Transformers
191. ICLR 2025Online Clustering with Nearly Optimal Consistency
192. ICLR 2025Optimal Brain Apoptosis
193. ICLR 2025Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
194. ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
195. ICLR 2025PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
196. ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
197. ICLR 2025PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
198. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
199. ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
200. ICLR 2025Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning

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.