高斯过程论文趋势 2023–2026

GP 回归与分类

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,049 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

高斯过程论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202369274810154
202491366440231
20251064153123323
20261064079116341

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

全部高斯过程论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,049 篇，第 15 / 21 页

  1. CVPR 2024SpecNeRF: Gaussian Directional Encoding for Specular Reflections
  2. CVPR 2024SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
  3. CVPR 2024Text-to-3D using Gaussian Splatting
  4. CVPR 2024Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
  5. ICLR 2024A General Framework for User-Guided Bayesian Optimization
  6. ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
  7. ICLR 2024A Unified Framework for Bayesian Optimization under Contextual Uncertainty
  8. ICLR 2024Amortized Network Intervention to Steer the Excitatory Point Processes
  9. ICLR 2024Augmented Bayesian Policy Search
  10. ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
  11. ICLR 2024Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
  12. ICLR 2024Conformal Prediction via Regression-as-Classification
  13. ICLR 2024Convolutional Deep Kernel Machines
  14. ICLR 2024DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
  15. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
  16. ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
  17. ICLR 2024Function-space Parameterization of Neural Networks for Sequential Learning
  18. ICLR 2024Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
  19. ICLR 2024GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
  20. ICLR 2024Graphical Multioutput Gaussian Process with Attention
  21. ICLR 2024Grokking as a First Order Phase Transition in Two Layer Networks
  22. ICLR 2024High-dimensional SGD aligns with emerging outlier eigenspaces
  23. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
  24. ICLR 2024Horizon-Free Regret for Linear Markov Decision Processes
  25. ICLR 2024Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
  26. ICLR 2024Kalman Filter for Online Classification of Non-Stationary Data
  27. ICLR 2024Leave-one-out Distinguishability in Machine Learning
  28. ICLR 2024Light Schrödinger Bridge
  29. ICLR 2024Making Pre-trained Language Models Great on Tabular Prediction
  30. ICLR 2024Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
  31. ICLR 2024Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
  32. ICLR 2024On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
  33. ICLR 2024Optimal Sample Complexity for Average Reward Markov Decision Processes
  34. ICLR 2024Prediction Error-based Classification for Class-Incremental Learning
  35. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
  36. ICLR 2024Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
  37. ICLR 2024Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
  38. ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right
  39. ICLR 2024Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
  40. ICLR 2024Uncertainty Quantification via Stable Distribution Propagation
  41. ICML 2024$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
  42. ICML 2024A Rate-Distortion View of Uncertainty Quantification
  43. ICML 2024A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
  44. ICML 2024Amortized Variational Deep Kernel Learning
  45. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
  46. ICML 2024Asymptotics of feature learning in two-layer networks after one gradient-step
  47. ICML 2024Asymptotics of Learning with Deep Structured (Random) Features
  48. ICML 2024Autoencoding Conditional Neural Processes for Representation Learning
  49. ICML 2024Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
  50. ICML 2024Classification Under Strategic Self-Selection

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 查高斯过程在 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": "gaussian-processes"}

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常见问题

2023–2026 年四大会议一共有多少篇高斯过程论文？
共 1,049 篇，按年份分别是 2023 年 154 篇、2024 年 231 篇、2025 年 323 篇、2026 年 341 篇。
NeurIPS 2026 有多少篇高斯过程论文？
NeurIPS 2026 有 106 篇高斯过程论文，上一届是 106 篇。
ICLR 2026 有多少篇高斯过程论文？
ICLR 2026 有 40 篇高斯过程论文，上一届是 41 篇。
ICML 2026 有多少篇高斯过程论文？
ICML 2026 有 79 篇高斯过程论文，上一届是 53 篇。
CVPR 2026 有多少篇高斯过程论文？
CVPR 2026 有 116 篇高斯过程论文，上一届是 123 篇。
哪个会议的高斯过程论文最多？
NeurIPS，2023–2026 年共 372 篇。

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