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 3 of 40

101. ICLR 2026Agentic Context Engineering: Learning Comprehensive Contexts for Self-Improving Language Models
102. ICLR 2026An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation
103. ICLR 2026Anchored Supervised Fine-Tuning
104. ICLR 2026Angle K-Means
105. ICLR 2026Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
106. ICLR 2026AnyUp: Universal Feature Upsampling
107. ICLR 2026AP-OOD: Attention Pooling for Out-of- Distribution Detection
108. ICLR 2026Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
109. ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
110. ICLR 2026Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
111. ICLR 2026Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge Graphs
112. ICLR 2026Bi-Lipschitz Autoencoder With Injectivity Guarantee
113. ICLR 2026BioTamperNet: Affinity-Guided State-Space Model Detecting Tampered Biomedical Images
114. ICLR 2026Boosting Open Set Recognition Performance through Modulated Representation Learning
115. ICLR 2026Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
116. ICLR 2026Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
117. ICLR 2026Calibrating Verbalized Confidence with Self-Generated Distractors
118. ICLR 2026CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
119. ICLR 2026Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception
120. ICLR 2026CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images
121. ICLR 2026Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
122. ICLR 2026CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning
123. ICLR 2026Command-V: Training-Free Representation Finetuning Transfer
124. ICLR 2026Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
125. ICLR 2026ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types
126. ICLR 2026Contrastive Predictive Coding Done Right for Mutual Information Estimation
127. ICLR 2026COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
128. ICLR 2026CroCoDiLight: Repurposing Cross-View Completion Encoders for Relighting
129. ICLR 2026CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
130. ICLR 2026CSRv2: Unlocking Ultra-Sparse Embeddings
131. ICLR 2026Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
132. ICLR 2026Cutting the Skip: Training Residual-Free Transformers
133. ICLR 2026Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
134. ICLR 2026Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL
135. ICLR 2026Decomposition of Concept-Level Rules in Visual Scenes
136. ICLR 2026Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
137. ICLR 2026Deep Learning with Learnable Product-Structured Activations
138. ICLR 2026Difference Predictive Coding for Training Spiking Neural Networks
139. ICLR 2026Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization
140. ICLR 2026Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective
141. ICLR 2026DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
142. ICLR 2026Divergence-Free Neural Networks with Application to Image Denoising
143. ICLR 2026Diverse Dictionary Learning
144. ICLR 2026Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models
145. ICLR 2026Dual Perspectives on Non-Contrastive Self-Supervised Learning
146. ICLR 2026Dual-Path Condition Alignment for Diffusion Transformers
147. ICLR 2026DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization
148. ICLR 2026Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL
149. ICLR 2026ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains
150. ICLR 2026Equivariant Splitting: Self-supervised learning from incomplete data

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.