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 20 of 40

951. NeurIPS 2025LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
952. NeurIPS 2025MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
953. NeurIPS 2025Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
954. NeurIPS 2025MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes
955. NeurIPS 2025‌Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
956. NeurIPS 2025Neurons as Detectors of Coherent Sets in Sensory Dynamics
957. NeurIPS 2025Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
958. NeurIPS 2025OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild
959. NeurIPS 2025On Agnostic PAC Learning in the Small Error Regime
960. NeurIPS 2025On the Role of Hidden States of Modern Hopfield Network in Transformer
961. NeurIPS 2025OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
962. NeurIPS 2025Path-Enhanced Contrastive Learning for Recommendation
963. NeurIPS 2025PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
964. NeurIPS 2025PIVNO: Particle Image Velocimetry Neural Operator
965. NeurIPS 2025Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
966. NeurIPS 2025Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
967. NeurIPS 2025QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
968. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
969. NeurIPS 2025Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
970. NeurIPS 2025RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
971. NeurIPS 2025Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
972. NeurIPS 2025Revisiting Semi-Supervised Learning in the Era of Foundation Models
973. NeurIPS 2025RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
974. NeurIPS 2025Robust Minimax Boosting with Performance Guarantees
975. NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
976. NeurIPS 2025SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization
977. NeurIPS 2025SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
978. NeurIPS 2025Self Iterative Label Refinement via Robust Unlabeled Learning
979. NeurIPS 2025Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
980. NeurIPS 2025Self-Adapting Language Models
981. NeurIPS 2025Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
982. NeurIPS 2025Self-diffusion for Solving Inverse Problems
983. NeurIPS 2025Self-Improving Embodied Foundation Models
984. NeurIPS 2025Self-Refining Language Model Anonymizers via Adversarial Distillation
985. NeurIPS 2025Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
986. NeurIPS 2025Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
987. NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
988. NeurIPS 2025Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
989. NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
990. NeurIPS 2025Self-Supervised Learning of Graph Representations for Network Intrusion Detection
991. NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
992. NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
993. NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
994. NeurIPS 2025Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
995. NeurIPS 2025seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
996. NeurIPS 2025SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data
997. NeurIPS 2025ShapeEmbed: a self-supervised learning framework for 2D contour quantification
998. NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
999. NeurIPS 2025Soft Task-Aware Routing of Experts for Equivariant Representation Learning
1000. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models

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.