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

195 papers, page 3 of 4

101. ICLR 2025Near, far: Patch-ordering enhances vision foundation models' scene understanding
102. ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
103. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
104. ICLR 2025Object-Centric Pretraining via Target Encoder Bootstrapping
105. ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
106. ICLR 2025On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
107. ICLR 2025On the Optimal Memorization Capacity of Transformers
108. ICLR 2025Online Clustering with Nearly Optimal Consistency
109. ICLR 2025Optimal Brain Apoptosis
110. ICLR 2025Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
111. ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
112. ICLR 2025PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
113. ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
114. ICLR 2025PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
115. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
116. ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
117. ICLR 2025Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
118. ICLR 2025Preserving Diversity in Supervised Fine-Tuning of Large Language Models
119. ICLR 2025Progress or Regress? Self-Improvement Reversal in Post-training
120. ICLR 2025Progressive distillation induces an implicit curriculum
121. ICLR 2025Projection Head is Secretly an Information Bottleneck
122. ICLR 2025Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
123. ICLR 2025Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
124. ICLR 2025Realistic Evaluation of Deep Partial-Label Learning Algorithms
125. ICLR 2025Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
126. ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
127. ICLR 2025Repetition Improves Language Model Embeddings
128. ICLR 2025Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
129. ICLR 2025Rethinking Multiple-Instance Learning From Feature Space to Probability Space
130. ICLR 2025Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
131. ICLR 2025Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
132. ICLR 2025Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
133. ICLR 2025SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
134. ICLR 2025Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
135. ICLR 2025Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
136. ICLR 2025SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
137. ICLR 2025Score-based Self-supervised MRI Denoising
138. ICLR 2025SEBRA : Debiasing through Self-Guided Bias Ranking
139. ICLR 2025Self-Attention-Based Contextual Modulation Improves Neural System Identification
140. ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
141. ICLR 2025Self-Improving Robust Preference Optimization
142. ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
143. ICLR 2025Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
144. ICLR 2025Self-supervised contrastive learning performs non-linear system identification
145. ICLR 2025Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
146. ICLR 2025Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
147. ICLR 2025Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
148. ICLR 2025SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
149. ICLR 2025SFESS: Score Function Estimators for $k$-Subset Sampling
150. ICLR 2025SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments

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.