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 62 篇，第 1 / 2 页

1. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
2. ICML 2024Auto-Linear Phenomenon in Subsurface Imaging
3. ICML 2024Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
4. ICML 2024Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
5. ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
6. ICML 2024Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
7. ICML 2024Classification Under Strategic Self-Selection
8. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
9. ICML 2024Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
10. ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
11. ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
12. ICML 2024Deep Neural Room Acoustics Primitive
13. ICML 2024Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
14. ICML 2024Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
15. ICML 2024Explorations of Self-Repair in Language Models
16. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
17. ICML 2024Federated Self-Explaining GNNs with Anti-shortcut Augmentations
18. ICML 2024FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
19. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
20. ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
21. ICML 2024From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
22. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
23. ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
24. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
25. ICML 2024Information Flow in Self-Supervised Learning
26. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
27. ICML 2024Learning to Model the World With Language
28. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
29. ICML 2024MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
30. ICML 2024Matrix Information Theory for Self-Supervised Learning
31. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
32. ICML 2024Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
33. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
34. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
35. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport
36. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
37. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
38. ICML 2024Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
39. ICML 2024SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
40. ICML 2024Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
41. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
42. ICML 2024Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
43. ICML 2024Self-Composing Policies for Scalable Continual Reinforcement Learning
44. ICML 2024Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
45. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
46. ICML 2024Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
47. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
48. ICML 2024Self-Rewarding Language Models
49. ICML 2024Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
50. ICML 2024Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity

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。