贝叶斯深度学习论文趋势 2023–2026
权重不确定性
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 408 篇被归入该主题的论文。
主要结论
- 贝叶斯深度学习论文从 2023 年的 112 篇增长到 2026 年的 112 篇，三年间扩大到约 1.0 倍。
- NeurIPS 是发贝叶斯深度学习论文最多的会议，2023–2026 年共 165 篇，占四个会议总量的 40%。
- 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 11 篇。
- 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的高斯过程是 2.2 倍，贝叶斯深度学习是 1.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 68 | 19 | 19 | 6 | 112 |
| 2024 | 30 | 26 | 37 | 7 | 100 |
| 2025 | 27 | 30 | 24 | 3 | 84 |
| 2026 | 40 | 22 | 41 | 9 | 112 |
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 2026Approximate Bayesian inference with exchangeable distributions for neurosymbolic AI
- ICML 2026A Bayesian Approach to Quantify the Uncertainty of Human Ratings in a Single-Instance Multimodal Framework
- ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
- CVPR 2026CGU-Bayes Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization
- NeurIPS 2025A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
- ICML 2025BARNN: A Bayesian Autoregressive and Recurrent Neural Network
- ICLR 2025Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior
- CVPR 2025HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
- NeurIPS 2024Bayesian Identification of the Hamiltonian Inductive Bias in Dynamical Systems
- ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
- ICLR 2024A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
- CVPR 2024Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
- NeurIPS 2023A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
- ICML 2023Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
- ICLR 2023Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
- CVPR 2023Bayesian Posterior Approximation With Stochastic Ensembles
- NeurIPS 2026BO-Arena: An Evolving Benchmark for High-Dimensional Bayesian Optimisation
- ICML 2026Bayesian Gated Non-Negative Contrastive Learning
- ICLR 2026Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
- CVPR 2026Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty
全部贝叶斯深度学习论文
共 408 篇，第 9 / 9 页
- NeurIPS 2023Stein $\Pi$-Importance Sampling
- NeurIPS 2023Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
- NeurIPS 2023Structure Learning with Adaptive Random Neighborhood Informed MCMC
- NeurIPS 2023The Bayesian Stability Zoo
- NeurIPS 2023The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data
- NeurIPS 2023Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
- NeurIPS 2023Uncertainty-Aware Instance Reweighting for Off-Policy Learning
- NeurIPS 2023Weitzman's Rule for Pandora's Box with Correlations
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查贝叶斯深度学习在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "bayesian-deep-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇贝叶斯深度学习论文？
- 共 408 篇，按年份分别是 2023 年 112 篇、2024 年 100 篇、2025 年 84 篇、2026 年 112 篇。
- NeurIPS 2026 有多少篇贝叶斯深度学习论文？
- NeurIPS 2026 有 40 篇贝叶斯深度学习论文，上一届是 27 篇。
- ICLR 2026 有多少篇贝叶斯深度学习论文？
- ICLR 2026 有 22 篇贝叶斯深度学习论文，上一届是 30 篇。
- ICML 2026 有多少篇贝叶斯深度学习论文？
- ICML 2026 有 41 篇贝叶斯深度学习论文，上一届是 24 篇。
- CVPR 2026 有多少篇贝叶斯深度学习论文？
- CVPR 2026 有 9 篇贝叶斯深度学习论文，上一届是 3 篇。
- 哪个会议的贝叶斯深度学习论文最多？
- NeurIPS，2023–2026 年共 165 篇。