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 6 of 9
- CVPR 2024Self-Supervised Dual Contouring
- CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
- CVPR 2024Self-Supervised Multi-Object Tracking with Path Consistency
- CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
- CVPR 2024SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
- CVPR 2024SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
- CVPR 2024Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
- CVPR 2024ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
- CVPR 2024SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
- CVPR 2024Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
- CVPR 2024Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
- CVPR 2024SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
- CVPR 2024SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
- CVPR 2024Supervised Anomaly Detection for Complex Industrial Images
- CVPR 2024Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
- CVPR 2024Targeted Representation Alignment for Open-World Semi-Supervised Learning
- CVPR 2024Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
- CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
- CVPR 2024Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
- CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
- CVPR 2024Training Vision Transformers for Semi-Supervised Semantic Segmentation
- CVPR 2024U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
- CVPR 2024Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
- CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
- CVPR 2024Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
- CVPR 2024VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
- CVPR 2024Weakly Supervised Monocular 3D Detection with a Single-View Image
- CVPR 2024Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
- CVPR 2024Weakly Supervised Video Individual Counting
- CVPR 2024What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
- CVPR 2023ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
- CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
- CVPR 2023Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
- CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
- CVPR 2023AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation
- CVPR 2023Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
- CVPR 2023Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
- CVPR 2023Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
- CVPR 2023BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
- CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
- CVPR 2023Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
- CVPR 2023BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
- CVPR 2023Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
- CVPR 2023Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
- CVPR 2023CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
- CVPR 2023CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
- CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
- CVPR 2023Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
- CVPR 2023Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection
- CVPR 2023Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Deep learning · self supervised learning papers grew at ICLR from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "dl-self-supervised-learning"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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