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 4 of 9
- CVPR 2025Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
- CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
- CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
- CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
- CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
- CVPR 2025SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
- CVPR 2025Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion
- CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
- CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
- CVPR 2025SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts
- CVPR 2025SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
- CVPR 2025Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
- CVPR 2025SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving
- CVPR 2025Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
- CVPR 2025STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
- CVPR 2025Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
- CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
- CVPR 2025Transformers without Normalization
- CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
- CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
- CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
- CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
- CVPR 2025Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
- CVPR 2025When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
- CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
- CVPR 2024A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
- CVPR 2024AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
- CVPR 2024AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
- CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
- CVPR 2024Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
- CVPR 2024Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
- CVPR 2024Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
- CVPR 2024CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
- CVPR 2024CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
- CVPR 2024Class Tokens Infusion for Weakly Supervised Semantic Segmentation
- CVPR 2024CNC-Net: Self-Supervised Learning for CNC Machining Operations
- CVPR 2024Coherence As Texture - Passive Textureless 3D Reconstruction by Self-interference
- CVPR 2024Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
- CVPR 2024CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
- CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
- CVPR 2024Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
- CVPR 2024DIOD: Self-Distillation Meets Object Discovery
- CVPR 2024DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
- CVPR 2024DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
- CVPR 2024Enhancing Post-training Quantization Calibration through Contrastive Learning
- CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
- CVPR 2024Extreme Point Supervised Instance Segmentation
- CVPR 2024FaceLift: Semi-supervised 3D Facial Landmark Localization
- CVPR 2024Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
- CVPR 2024From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
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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