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

426 papers, page 5 of 9

201. CVPR 2024From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
202. CVPR 2024Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
203. CVPR 2024Generating Non-Stationary Textures using Self-Rectification
204. CVPR 2024GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
205. CVPR 2024HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
206. CVPR 2024Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
207. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
208. CVPR 2024Improved Visual Grounding through Self-Consistent Explanations
209. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
210. CVPR 2024Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
211. CVPR 2024LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
212. CVPR 2024Learning the 3D Fauna of the Web
213. CVPR 2024Learning to Count without Annotations
214. CVPR 2024Learning to Predict Activity Progress by Self-Supervised Video Alignment
215. CVPR 2024Locally Adaptive Neural 3D Morphable Models
216. CVPR 2024Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
217. CVPR 2024Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
218. CVPR 2024Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
219. CVPR 2024Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
220. CVPR 2024MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
221. CVPR 2024Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
222. CVPR 2024Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
223. CVPR 2024Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
224. CVPR 2024Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
225. CVPR 2024PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images
226. CVPR 2024Parameter Efficient Self-Supervised Geospatial Domain Adaptation
227. CVPR 2024Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
228. CVPR 2024PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
229. CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
230. CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
231. CVPR 2024Prompt Augmentation for Self-supervised Text-guided Image Manipulation
232. CVPR 2024Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
233. CVPR 2024PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
234. CVPR 2024RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
235. CVPR 2024Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
236. CVPR 2024Relational Matching for Weakly Semi-Supervised Oriented Object Detection
237. CVPR 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
238. CVPR 2024Robust Self-calibration of Focal Lengths from the Fundamental Matrix
239. CVPR 2024SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
240. CVPR 2024SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
241. CVPR 2024SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
242. CVPR 2024SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
243. CVPR 2024SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
244. CVPR 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
245. CVPR 2024Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
246. CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration
247. CVPR 2024Self-correcting LLM-controlled Diffusion Models
248. CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
249. CVPR 2024Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
250. CVPR 2024Self-supervised Debiasing Using Low Rank Regularization

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.