Deep learning · self supervised learning papers, 2023–2026
Deep learning area: self_supervised_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,958 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 160 | 108 | 41 | 146 | 455 |
| 2024 | 110 | 195 | 62 | 105 | 472 |
| 2025 | 147 | 195 | 72 | 83 | 497 |
| 2026 | 110 | 195 | 135 | 94 | 534 |
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
426 papers, page 8 of 9
- CVPR 2023Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting
- CVPR 2023Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
- CVPR 2023Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
- CVPR 2023Patch-Craft Self-Supervised Training for Correlated Image Denoising
- CVPR 2023PATS: Patch Area Transportation With Subdivision for Local Feature Matching
- CVPR 2023PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
- CVPR 2023PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes
- CVPR 2023PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
- CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
- CVPR 2023Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
- CVPR 2023ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning
- CVPR 2023RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension
- CVPR 2023RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension
- CVPR 2023ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration
- CVPR 2023Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
- CVPR 2023Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
- CVPR 2023S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
- CVPR 2023SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
- CVPR 2023SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
- CVPR 2023Self-Guided Diffusion Models
- CVPR 2023Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
- CVPR 2023Self-Supervised AutoFlow
- CVPR 2023Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization
- CVPR 2023Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
- CVPR 2023Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
- CVPR 2023Self-Supervised Implicit Glyph Attention for Text Recognition
- CVPR 2023Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
- CVPR 2023Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
- CVPR 2023Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
- CVPR 2023Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
- CVPR 2023Self-Supervised Representation Learning for CAD
- CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
- CVPR 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
- CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
- CVPR 2023Semantic Scene Completion With Cleaner Self
- CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
- CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
- CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
- CVPR 2023Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus
- CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
- CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
- CVPR 2023SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
- CVPR 2023Siamese DETR
- CVPR 2023Siamese Image Modeling for Self-Supervised Vision Representation Learning
- CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
- CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
- CVPR 2023Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention
- CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
- CVPR 2023SMPConv: Self-Moving Point Representations for Continuous Convolution
- CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197