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 41 篇，第 1 / 1 页

1. ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
2. ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
3. ICML 2023Contrastive Learning Meets Homophily: Two Birds with One Stone
4. ICML 2023CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
5. ICML 2023Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
6. ICML 2023Dink-Net: Neural Clustering on Large Graphs
7. ICML 2023Distance Weighted Supervised Learning for Offline Interaction Data
8. ICML 2023Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
9. ICML 2023EM-Network: Oracle Guided Self-distillation for Sequence Learning
10. ICML 2023Evaluating Self-Supervised Learning via Risk Decomposition
11. ICML 2023Few-Sample Feature Selection via Feature Manifold Learning
12. ICML 2023Improving Visual Prompt Tuning for Self-supervised Vision Transformers
13. ICML 2023LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
14. ICML 2023Learning Instance-Specific Augmentations by Capturing Local Invariances
15. ICML 2023Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
16. ICML 2023Loss Balancing for Fair Supervised Learning
17. ICML 2023Mimetic Initialization of Self-Attention Layers
18. ICML 2023Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
19. ICML 2023NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
20. ICML 2023On the Stepwise Nature of Self-Supervised Learning
21. ICML 2023On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
22. ICML 2023Random Teachers are Good Teachers
23. ICML 2023RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
24. ICML 2023Recasting Self-Attention with Holographic Reduced Representations
25. ICML 2023Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
26. ICML 2023Self-Interpretable Time Series Prediction with Counterfactual Explanations
27. ICML 2023Self-supervised learning of Split Invariant Equivariant representations
28. ICML 2023Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
29. ICML 2023Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
30. ICML 2023Simplified Temporal Consistency Reinforcement Learning
31. ICML 2023SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
32. ICML 2023Stabilizing Transformer Training by Preventing Attention Entropy Collapse
33. ICML 2023Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
34. ICML 2023The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
35. ICML 2023Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
36. ICML 2023Towards Unbiased Training in Federated Open-world Semi-supervised Learning
37. ICML 2023Understanding Self-Distillation in the Presence of Label Noise
38. ICML 2023Understanding Self-Predictive Learning for Reinforcement Learning
39. ICML 2023Weakly Supervised Disentangled Generative Causal Representation Learning
40. ICML 2023Weakly Supervised Regression with Interval Targets
41. ICML 2023Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?

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。