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

146 papers, page 3 of 3

101. CVPR 2023Self-Supervised Representation Learning for CAD
102. CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
103. CVPR 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
104. CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
105. CVPR 2023Semantic Scene Completion With Cleaner Self
106. CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
107. CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
108. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
109. CVPR 2023Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus
110. CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
111. CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
112. CVPR 2023SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
113. CVPR 2023Siamese DETR
114. CVPR 2023Siamese Image Modeling for Self-Supervised Vision Representation Learning
115. CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
116. CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
117. CVPR 2023Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention
118. CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
119. CVPR 2023SMPConv: Self-Moving Point Representations for Continuous Convolution
120. CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
121. CVPR 2023Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
122. CVPR 2023Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
123. CVPR 2023Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
124. CVPR 2023StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
125. CVPR 2023SUDS: Scalable Urban Dynamic Scenes
126. CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
127. CVPR 2023Switchable Representation Learning Framework With Self-Compatibility
128. CVPR 2023T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
129. CVPR 2023Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
130. CVPR 2023TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
131. CVPR 2023The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
132. CVPR 2023The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
133. CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
134. CVPR 2023Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
135. CVPR 2023Token Contrast for Weakly-Supervised Semantic Segmentation
136. CVPR 2023Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
137. CVPR 2023Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
138. CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
139. CVPR 2023Vector Quantization With Self-Attention for Quality-Independent Representation Learning
140. CVPR 2023Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition
141. CVPR 2023VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
142. CVPR 2023Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
143. CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
144. CVPR 2023Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
145. CVPR 2023Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
146. CVPR 2023Weakly-Supervised Single-View Image Relighting

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.