采样方法论文趋势 2023–2026

主要结论

• 采样方法论文从 2023 年的 122 篇增长到 2026 年的 195 篇，三年间扩大到约 1.6 倍。
• NeurIPS 是发采样方法论文最多的会议，2023–2026 年共 221 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是MCTS：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 31 篇。
• 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的高斯过程是 2.2 倍，采样方法是 1.6 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 Model of Diverse Sampling from Language Models
• ICML 2026BFTS: Thompson Sampling with Bayesian Additive Regression Trees
• ICLR 2026Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
• CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
• NeurIPS 2025Antidistillation Sampling
• ICML 2025Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
• ICLR 2025Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
• CVPR 2025AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
• NeurIPS 2024In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
• ICML 2024Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
• ICLR 2024Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
• CVPR 2024G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
• NeurIPS 2023A Dynamical System View of Langevin-Based Non-Convex Sampling
• ICML 2023Adaptive Annealed Importance Sampling with Constant Rate Progress
• ICLR 2023Any-scale Balanced Samplers for Discrete Space
• CVPR 2023Change-Aware Sampling and Contrastive Learning for Satellite Images
• NeurIPS 2026A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
• ICML 2026Box Thirding: Anytime Best Arm Identification under Insufficient Sampling
• ICLR 2026On Coreset for LASSO Regression Problem with Sensitivity Sampling
• CVPR 2026Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage

全部采样方法论文

共 63 篇，第 1 / 2 页

1. CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
2. CVPR 2026Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling
3. CVPR 2026Ani3DHuman Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
4. CVPR 2026Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
5. CVPR 2026Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
6. CVPR 2026Diffusion Sampling Path Tells More An Efficient Plug-and-Play Strategy for
7. CVPR 2026Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation
8. CVPR 2026Few-Step Diffusion Sampling Through Instance-Aware Discretizations
9. CVPR 2026FG-Portrait 3D Flow Guided Editable Portrait Animation
10. CVPR 2026Guiding Diffusion Models with Fine-Grained Conditions and Semantics-Preserving Sampling for
11. CVPR 2026Region-Adaptive Sampling for Diffusion Transformers
12. CVPR 2026Revisiting F-measure Optimization in Multi-Label Classification A Sampling-based Approach
13. CVPR 2026Sampling-Aware Quantization for Diffusion Models
14. CVPR 2026Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion
15. CVPR 2025Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
16. CVPR 2025AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
17. CVPR 2025Boltzmann Attention Sampling for Image Analysis with Small Objects
18. CVPR 2025Consistency Posterior Sampling for Diverse Image Synthesis
19. CVPR 2025Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
20. CVPR 2025Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
21. CVPR 2025HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
22. CVPR 2025Identity-preserving Distillation Sampling by Fixed-Point Iterator
23. CVPR 2025Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
24. CVPR 2025Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery
25. CVPR 2025PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
26. CVPR 2025SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
27. CVPR 2025Sampling Innovation-Based Adaptive Compressive Sensing
28. CVPR 2025Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
29. CVPR 2025StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
30. CVPR 2025Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling
31. CVPR 2024Accelerating Diffusion Sampling with Optimized Time Steps
32. CVPR 2024Accelerating Neural Field Training via Soft Mining
33. CVPR 2024Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
34. CVPR 2024Deep Equilibrium Diffusion Restoration with Parallel Sampling
35. CVPR 2024Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
36. CVPR 2024Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
37. CVPR 2024FastMAC: Stochastic Spectral Sampling of Correspondence Graph
38. CVPR 2024G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
39. CVPR 2024Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
40. CVPR 2024HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
41. CVPR 2024Improving Graph Contrastive Learning via Adaptive Positive Sampling
42. CVPR 2024KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
43. CVPR 2024L0-Sampler: An L0 Model Guided Volume Sampling for NeRF
44. CVPR 2024LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
45. CVPR 2024Neural Redshift: Random Networks are not Random Functions
46. CVPR 2024Pick-or-Mix: Dynamic Channel Sampling for ConvNets
47. CVPR 2024Posterior Distillation Sampling
48. CVPR 2024Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
49. CVPR 2024Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
50. CVPR 2023Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations

常见问题

2023–2026 年四大会议一共有多少篇采样方法论文？

共 640 篇，按年份分别是 2023 年 122 篇、2024 年 156 篇、2025 年 167 篇、2026 年 195 篇。

NeurIPS 2026 有多少篇采样方法论文？

NeurIPS 2026 有 64 篇采样方法论文，上一届是 67 篇。

ICLR 2026 有多少篇采样方法论文？

ICLR 2026 有 46 篇采样方法论文，上一届是 48 篇。

ICML 2026 有多少篇采样方法论文？

ICML 2026 有 71 篇采样方法论文，上一届是 36 篇。

CVPR 2026 有多少篇采样方法论文？

CVPR 2026 有 14 篇采样方法论文，上一届是 16 篇。

哪个会议的采样方法论文最多？

NeurIPS，2023–2026 年共 221 篇。