深度学习 · self supervised learning论文趋势 2023–2026

主要结论

• 深度学习 · self supervised learning论文从 2023 年的 455 篇增长到 2026 年的 534 篇，三年间扩大到约 1.2 倍。
• ICLR 是发深度学习 · self supervised learning论文最多的会议，2023–2026 年共 693 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是通用机器学习 · unsupervised and semisupervised learning：同时属于两个主题的论文从 2023 年的 23 篇增至 2026 年的 86 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 4；同组增长最快的扩散模型是 4.1 倍，深度学习 · self supervised learning是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部深度学习 · self supervised learning论文

共 105 篇，第 1 / 3 页

1. CVPR 2024A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
2. CVPR 2024AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
3. CVPR 2024AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
4. CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
5. CVPR 2024Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
6. CVPR 2024Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
7. CVPR 2024Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
8. CVPR 2024CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
9. CVPR 2024CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
10. CVPR 2024Class Tokens Infusion for Weakly Supervised Semantic Segmentation
11. CVPR 2024CNC-Net: Self-Supervised Learning for CNC Machining Operations
12. CVPR 2024Coherence As Texture - Passive Textureless 3D Reconstruction by Self-interference
13. CVPR 2024Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
14. CVPR 2024CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
15. CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
16. CVPR 2024Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
17. CVPR 2024DIOD: Self-Distillation Meets Object Discovery
18. CVPR 2024DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
19. CVPR 2024DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
20. CVPR 2024Enhancing Post-training Quantization Calibration through Contrastive Learning
21. CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
22. CVPR 2024Extreme Point Supervised Instance Segmentation
23. CVPR 2024FaceLift: Semi-supervised 3D Facial Landmark Localization
24. CVPR 2024Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
25. CVPR 2024From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
26. CVPR 2024From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
27. CVPR 2024Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
28. CVPR 2024Generating Non-Stationary Textures using Self-Rectification
29. CVPR 2024GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
30. CVPR 2024HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
31. CVPR 2024Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
32. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
33. CVPR 2024Improved Visual Grounding through Self-Consistent Explanations
34. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
35. CVPR 2024Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
36. CVPR 2024LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
37. CVPR 2024Learning the 3D Fauna of the Web
38. CVPR 2024Learning to Count without Annotations
39. CVPR 2024Learning to Predict Activity Progress by Self-Supervised Video Alignment
40. CVPR 2024Locally Adaptive Neural 3D Morphable Models
41. CVPR 2024Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
42. CVPR 2024Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
43. CVPR 2024Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
44. CVPR 2024Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
45. CVPR 2024MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
46. CVPR 2024Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
47. CVPR 2024Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
48. CVPR 2024Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
49. CVPR 2024Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
50. CVPR 2024PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · self supervised learning论文？

共 1,958 篇，按年份分别是 2023 年 455 篇、2024 年 472 篇、2025 年 497 篇、2026 年 534 篇。

NeurIPS 2026 有多少篇深度学习 · self supervised learning论文？

NeurIPS 2026 有 110 篇深度学习 · self supervised learning论文，上一届是 147 篇。

ICLR 2026 有多少篇深度学习 · self supervised learning论文？

ICLR 2026 有 195 篇深度学习 · self supervised learning论文，上一届是 195 篇。

ICML 2026 有多少篇深度学习 · self supervised learning论文？

ICML 2026 有 135 篇深度学习 · self supervised learning论文，上一届是 72 篇。

CVPR 2026 有多少篇深度学习 · self supervised learning论文？

CVPR 2026 有 94 篇深度学习 · self supervised learning论文，上一届是 83 篇。

哪个会议的深度学习 · self supervised learning论文最多？

ICLR，2023–2026 年共 693 篇。