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 21 of 40

1001. NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
1002. NeurIPS 2025Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
1003. NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
1004. NeurIPS 2025T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
1005. NeurIPS 2025TabDPT: Scaling Tabular Foundation Models on Real Data
1006. NeurIPS 2025Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
1007. NeurIPS 2025THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
1008. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
1009. NeurIPS 2025TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
1010. NeurIPS 2025Token Bottleneck: One Token to Remember Dynamics
1011. NeurIPS 2025Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
1012. NeurIPS 2025Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
1013. NeurIPS 2025Towards Self-Refinement of Vision-Language Models with Triangular Consistency
1014. NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
1015. NeurIPS 2025TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
1016. NeurIPS 2025TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
1017. NeurIPS 2025UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
1018. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
1019. NeurIPS 2025Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
1020. NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
1021. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models
1022. NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
1023. NeurIPS 2025UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
1024. NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
1025. NeurIPS 2025Variational Supervised Contrastive Learning
1026. NeurIPS 2025What are you sinking? A geometric approach on attention sink
1027. NeurIPS 2025Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
1028. NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
1029. NeurIPS 2025ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding
1030. CVPR 2024A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
1031. CVPR 2024AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
1032. CVPR 2024AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
1033. CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
1034. CVPR 2024Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
1035. CVPR 2024Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
1036. CVPR 2024Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
1037. CVPR 2024CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
1038. CVPR 2024CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
1039. CVPR 2024Class Tokens Infusion for Weakly Supervised Semantic Segmentation
1040. CVPR 2024CNC-Net: Self-Supervised Learning for CNC Machining Operations
1041. CVPR 2024Coherence As Texture - Passive Textureless 3D Reconstruction by Self-interference
1042. CVPR 2024Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
1043. CVPR 2024CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
1044. CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
1045. CVPR 2024Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
1046. CVPR 2024DIOD: Self-Distillation Meets Object Discovery
1047. CVPR 2024DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
1048. CVPR 2024DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
1049. CVPR 2024Enhancing Post-training Quantization Calibration through Contrastive Learning
1050. CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios

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.