深度学习 · probabilistic methods论文趋势 2023–2026

主要结论

• 深度学习 · probabilistic methods论文从 2023 年的 107 篇增长到 2026 年的 107 篇，三年间扩大到约 1.0 倍。
• NeurIPS 是发深度学习 · probabilistic methods论文最多的会议，2023–2026 年共 440 篇，占四个会议总量的 69%。
• 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 14 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 9；同组增长最快的扩散模型是 4.1 倍，深度学习 · probabilistic methods是 1.0 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 2026A Faster Algorithm for the Half-Trek Criterion in Structural Causal Models
• ICML 2026An Efficient Joint Learning Approach for Item Response Theory
• ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
• CVPR 2026Beyond Text Visual Description Assembly by Probabilistic Model for CLIP-based
• NeurIPS 2025$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
• ICML 2025Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
• ICLR 2025P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
• CVPR 2025ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
• NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
• ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
• ICLR 2024A Probabilistic Framework for Modular Continual Learning
• CVPR 2024CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
• NeurIPS 2023A Computationally Efficient Sparsified Online Newton Method
• ICML 2023A theory of representation learning gives a deep generalisation of kernel methods
• ICLR 2023A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
• CVPR 2023Probabilistic Knowledge Distillation of Face Ensembles
• NeurIPS 2026Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
• ICML 2026Avoid What You Know: Divergent Trajectory Balance for GFlowNets
• ICLR 2026Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution
• CVPR 2026ARES Unifying Asymmetric RGB-Event Stereo for Probabilistic Scene Flow Estimation

全部深度学习 · probabilistic methods论文

共 23 篇，第 1 / 1 页

1. CVPR 2026ARES Unifying Asymmetric RGB-Event Stereo for Probabilistic Scene Flow Estimation
2. CVPR 2026Beyond Text Visual Description Assembly by Probabilistic Model for CLIP-based
3. CVPR 2026Elucidating the SNR-t Bias of Diffusion Probabilistic Models
4. CVPR 2026JoPPO Hierarchical Photography Assessment via Contrastive Joint Conditional Probabilistic Reinforcement
5. CVPR 2026Probabilistic Discrepancy Learning for Roadside LiDAR Scene Completion
6. CVPR 2026Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
7. CVPR 2026ProM3E Probabilistic Masked MultiModal Embedding Model for Ecology
8. CVPR 2025Fingerprinting Denoising Diffusion Probabilistic Models
9. CVPR 2025Probabilistic Prompt Distribution Learning for Animal Pose Estimation
10. CVPR 2025ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
11. CVPR 2025SyncSDE: A Probabilistic Framework for Diffusion Synchronization
12. CVPR 2024A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
13. CVPR 2024CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
14. CVPR 2024DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
15. CVPR 2024Observation-Guided Diffusion Probabilistic Models
16. CVPR 2024Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
17. CVPR 2024ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring
18. CVPR 2023Diffusion Probabilistic Model Made Slim
19. CVPR 2023Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
20. CVPR 2023Probabilistic Debiasing of Scene Graphs
21. CVPR 2023Probabilistic Knowledge Distillation of Face Ensembles
22. CVPR 2023Probabilistic Prompt Learning for Dense Prediction
23. CVPR 2023Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · probabilistic methods论文？

共 637 篇，按年份分别是 2023 年 107 篇、2024 年 160 篇、2025 年 263 篇、2026 年 107 篇。

NeurIPS 2026 有多少篇深度学习 · probabilistic methods论文？

NeurIPS 2026 有 28 篇深度学习 · probabilistic methods论文，上一届是 212 篇。

ICLR 2026 有多少篇深度学习 · probabilistic methods论文？

ICLR 2026 有 13 篇深度学习 · probabilistic methods论文，上一届是 10 篇。

ICML 2026 有多少篇深度学习 · probabilistic methods论文？

ICML 2026 有 59 篇深度学习 · probabilistic methods论文，上一届是 37 篇。

CVPR 2026 有多少篇深度学习 · probabilistic methods论文？

CVPR 2026 有 7 篇深度学习 · probabilistic methods论文，上一届是 4 篇。

哪个会议的深度学习 · probabilistic methods论文最多？

NeurIPS，2023–2026 年共 440 篇。