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 147 篇，第 1 / 3 页

1. NeurIPS 2025$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
2. NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
3. NeurIPS 20251000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
4. NeurIPS 20253D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
5. NeurIPS 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
6. NeurIPS 2025A Geometric Analysis of PCA
7. NeurIPS 2025A multiscale analysis of mean-field transformers in the moderate interaction regime
8. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
9. NeurIPS 2025Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
10. NeurIPS 2025Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
11. NeurIPS 2025Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
12. NeurIPS 2025Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
13. NeurIPS 2025BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
14. NeurIPS 2025Bayes optimal learning of attention-indexed models
15. NeurIPS 2025BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
16. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
17. NeurIPS 2025BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
18. NeurIPS 2025CG-SSL: Concept-Guided Self-Supervised Learning
19. NeurIPS 2025Coloring Learning for Heterophilic Graph Representation
20. NeurIPS 2025Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
21. NeurIPS 2025Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
22. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
23. NeurIPS 2025Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
24. NeurIPS 2025Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
25. NeurIPS 2025Contrastive Self-Supervised Learning As Neural Manifold Packing
26. NeurIPS 2025Correlation Dimension of Autoregressive Large Language Models
27. NeurIPS 2025CoUn: Empowering Machine Unlearning via Contrastive Learning
28. NeurIPS 2025Dataset Distillation for Pre-Trained Self-Supervised Vision Models
29. NeurIPS 2025Decoupled Entropy Minimization
30. NeurIPS 2025DINO-Foresight: Looking into the Future with DINO
31. NeurIPS 2025DisMo: Disentangled Motion Representations for Open-World Motion Transfer
32. NeurIPS 2025Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
33. NeurIPS 2025Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
34. NeurIPS 2025Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
35. NeurIPS 2025E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization
36. NeurIPS 2025Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
37. NeurIPS 2025Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
38. NeurIPS 2025Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
39. NeurIPS 2025Exploring Structural Degradation in Dense Representations for Self-supervised Learning
40. NeurIPS 2025FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
41. NeurIPS 2025FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
42. NeurIPS 2025Flux4D: Flow-based Unsupervised 4D Reconstruction
43. NeurIPS 2025Formal Models of Active Learning from Contrastive Examples
44. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
45. NeurIPS 2025From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
46. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
47. NeurIPS 2025Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
48. NeurIPS 2025GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data
49. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
50. NeurIPS 2025Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation

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。