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 146 篇，第 1 / 3 页

1. CVPR 2023ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
2. CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
3. CVPR 2023Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
4. CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
5. CVPR 2023AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation
6. CVPR 2023Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
7. CVPR 2023Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
8. CVPR 2023Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
9. CVPR 2023BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
10. CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
11. CVPR 2023Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
12. CVPR 2023BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
13. CVPR 2023Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
14. CVPR 2023Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
15. CVPR 2023CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
16. CVPR 2023CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
17. CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
18. CVPR 2023Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
19. CVPR 2023Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection
20. CVPR 2023Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
21. CVPR 2023Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning
22. CVPR 2023Correlational Image Modeling for Self-Supervised Visual Pre-Training
23. CVPR 2023DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
24. CVPR 2023Deep Semi-Supervised Metric Learning With Mixed Label Propagation
25. CVPR 2023DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
26. CVPR 2023Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
27. CVPR 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
28. CVPR 2023Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization
29. CVPR 2023DLBD: A Self-Supervised Direct-Learned Binary Descriptor
30. CVPR 2023DrapeNet: Garment Generation and Self-Supervised Draping
31. CVPR 2023DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
32. CVPR 2023DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective
33. CVPR 2023Enhancing the Self-Universality for Transferable Targeted Attacks
34. CVPR 2023EventNeRF: Neural Radiance Fields From a Single Colour Event Camera
35. CVPR 2023Evolved Part Masking for Self-Supervised Learning
36. CVPR 2023Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis
37. CVPR 2023Fully Self-Supervised Depth Estimation From Defocus Clue
38. CVPR 2023Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation
39. CVPR 2023GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training
40. CVPR 2023Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
41. CVPR 2023HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions
42. CVPR 2023Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation
43. CVPR 2023HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
44. CVPR 2023Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
45. CVPR 2023Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images
46. CVPR 2023Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
47. CVPR 2023Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
48. CVPR 2023Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking
49. CVPR 2023LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
50. CVPR 2023Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

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。