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 22 of 40

1051. CVPR 2024Extreme Point Supervised Instance Segmentation
1052. CVPR 2024FaceLift: Semi-supervised 3D Facial Landmark Localization
1053. CVPR 2024Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
1054. CVPR 2024From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
1055. CVPR 2024From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
1056. CVPR 2024Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
1057. CVPR 2024Generating Non-Stationary Textures using Self-Rectification
1058. CVPR 2024GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
1059. CVPR 2024HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
1060. CVPR 2024Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
1061. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
1062. CVPR 2024Improved Visual Grounding through Self-Consistent Explanations
1063. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
1064. CVPR 2024Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
1065. CVPR 2024LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
1066. CVPR 2024Learning the 3D Fauna of the Web
1067. CVPR 2024Learning to Count without Annotations
1068. CVPR 2024Learning to Predict Activity Progress by Self-Supervised Video Alignment
1069. CVPR 2024Locally Adaptive Neural 3D Morphable Models
1070. CVPR 2024Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
1071. CVPR 2024Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
1072. CVPR 2024Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
1073. CVPR 2024Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
1074. CVPR 2024MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
1075. CVPR 2024Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
1076. CVPR 2024Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
1077. CVPR 2024Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
1078. CVPR 2024Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
1079. CVPR 2024PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images
1080. CVPR 2024Parameter Efficient Self-Supervised Geospatial Domain Adaptation
1081. CVPR 2024Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
1082. CVPR 2024PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
1083. CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
1084. CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
1085. CVPR 2024Prompt Augmentation for Self-supervised Text-guided Image Manipulation
1086. CVPR 2024Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
1087. CVPR 2024PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
1088. CVPR 2024RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
1089. CVPR 2024Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
1090. CVPR 2024Relational Matching for Weakly Semi-Supervised Oriented Object Detection
1091. CVPR 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
1092. CVPR 2024Robust Self-calibration of Focal Lengths from the Fundamental Matrix
1093. CVPR 2024SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
1094. CVPR 2024SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
1095. CVPR 2024SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
1096. CVPR 2024SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
1097. CVPR 2024SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
1098. CVPR 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
1099. CVPR 2024Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
1100. CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration

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.