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 72 篇，第 1 / 2 页

1. ICML 2025A Generalization Theory for Zero-Shot Prediction
2. ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
3. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
4. ICML 2025Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
5. ICML 2025Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
6. ICML 2025Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
7. ICML 2025BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
8. ICML 2025Clustering Properties of Self-Supervised Learning
9. ICML 2025Clustering via Self-Supervised Diffusion
10. ICML 2025Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
11. ICML 2025Collapse-Proof Non-Contrastive Self-Supervised Learning
12. ICML 2025Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
13. ICML 2025DeepLayout: Learning Neural Representations of Circuit Placement Layout
14. ICML 2025Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
15. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
16. ICML 2025Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
17. ICML 2025DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
18. ICML 2025Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
19. ICML 2025Equivalence is All: A Unified View for Self-supervised Graph Learning
20. ICML 2025FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
21. ICML 2025Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
22. ICML 2025Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
23. ICML 2025Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
24. ICML 2025HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
25. ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
26. ICML 2025Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
27. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
28. ICML 2025Learning Efficient Robotic Garment Manipulation with Standardization
29. ICML 2025LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
30. ICML 2025Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
31. ICML 2025NeuronTune: Towards Self-Guided Spurious Bias Mitigation
32. ICML 2025Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
33. ICML 2025On the Importance of Embedding Norms in Self-Supervised Learning
34. ICML 2025On the Out-of-Distribution Generalization of Self-Supervised Learning
35. ICML 2025One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
36. ICML 2025PhySpec: Physically Consistent Spectral Reconstruction via Orthogonal Subspace Decomposition and Self-Supervised Meta-Auxiliary Learning
37. ICML 2025Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
38. ICML 2025Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
39. ICML 2025Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
40. ICML 2025Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
41. ICML 2025Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
42. ICML 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
43. ICML 2025Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
44. ICML 2025Rethinking Chain-of-Thought from the Perspective of Self-Training
45. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
46. ICML 2025Robust Autonomy Emerges from Self-Play
47. ICML 2025Sample-Optimal Agnostic Boosting with Unlabeled Data
48. ICML 2025scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
49. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
50. ICML 2025Self-Consistency Preference Optimization

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。