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

1,956 papers, page 23 of 40

1101. CVPR 2024Self-correcting LLM-controlled Diffusion Models
1102. CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
1103. CVPR 2024Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
1104. CVPR 2024Self-supervised Debiasing Using Low Rank Regularization
1105. CVPR 2024Self-Supervised Dual Contouring
1106. CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
1107. CVPR 2024Self-Supervised Multi-Object Tracking with Path Consistency
1108. CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
1109. CVPR 2024SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
1110. CVPR 2024SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
1111. CVPR 2024Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
1112. CVPR 2024ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
1113. CVPR 2024SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
1114. CVPR 2024Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
1115. CVPR 2024Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
1116. CVPR 2024SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
1117. CVPR 2024SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
1118. CVPR 2024Supervised Anomaly Detection for Complex Industrial Images
1119. CVPR 2024Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
1120. CVPR 2024Targeted Representation Alignment for Open-World Semi-Supervised Learning
1121. CVPR 2024Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
1122. CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
1123. CVPR 2024Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
1124. CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
1125. CVPR 2024Training Vision Transformers for Semi-Supervised Semantic Segmentation
1126. CVPR 2024U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
1127. CVPR 2024Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
1128. CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
1129. CVPR 2024Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
1130. CVPR 2024VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
1131. CVPR 2024Weakly Supervised Monocular 3D Detection with a Single-View Image
1132. CVPR 2024Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
1133. CVPR 2024Weakly Supervised Video Individual Counting
1134. CVPR 2024What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
1135. ICLR 20243D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
1136. ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
1137. ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
1138. ICLR 2024A Recipe for Improved Certifiable Robustness
1139. ICLR 2024A representation-learning game for classes of prediction tasks
1140. ICLR 2024Accelerated Sampling with Stacked Restricted Boltzmann Machines
1141. ICLR 2024An Investigation of Representation and Allocation Harms in Contrastive Learning
1142. ICLR 2024Annealing Self-Distillation Rectification Improves Adversarial Training
1143. ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
1144. ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation
1145. ICLR 2024AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
1146. ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
1147. ICLR 2024BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
1148. ICLR 2024Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
1149. ICLR 2024Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
1150. ICLR 2024Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

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.