Sampling Methods papers, 2023–2026
MCMC and Langevin
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 640 papers are tagged with this topic.
Key findings
- Sampling Methods went from 122 papers in 2023 to 195 in 2026, roughly 1.6x in three years.
- NeurIPS publishes the most Sampling Methods work: 221 papers from 2023 to 2026, 35% of the four-venue total.
- The fastest-growing overlap is with Monte Carlo Tree Search: papers tagged with both rose from 4 in 2023 to 31 in 2026.
- Among the 5 topics under Probabilistic and Bayesian, it ranks #2 by 2026 paper count; the fastest grower in the group, Gaussian Processes, is up 2.2x versus 1.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 50 | 25 | 33 | 14 | 122 |
| 2024 | 40 | 41 | 56 | 19 | 156 |
| 2025 | 67 | 48 | 36 | 16 | 167 |
| 2026 | 64 | 46 | 71 | 14 | 195 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Sampling Methods papers
63 papers, page 1 of 2
- CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
- CVPR 2026Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling
- CVPR 2026Ani3DHuman Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
- CVPR 2026Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
- CVPR 2026Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
- CVPR 2026Diffusion Sampling Path Tells More An Efficient Plug-and-Play Strategy for
- CVPR 2026Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation
- CVPR 2026Few-Step Diffusion Sampling Through Instance-Aware Discretizations
- CVPR 2026FG-Portrait 3D Flow Guided Editable Portrait Animation
- CVPR 2026Guiding Diffusion Models with Fine-Grained Conditions and Semantics-Preserving Sampling for
- CVPR 2026Region-Adaptive Sampling for Diffusion Transformers
- CVPR 2026Revisiting F-measure Optimization in Multi-Label Classification A Sampling-based Approach
- CVPR 2026Sampling-Aware Quantization for Diffusion Models
- CVPR 2026Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion
- CVPR 2025Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
- CVPR 2025AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
- CVPR 2025Boltzmann Attention Sampling for Image Analysis with Small Objects
- CVPR 2025Consistency Posterior Sampling for Diverse Image Synthesis
- CVPR 2025Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
- CVPR 2025Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
- CVPR 2025HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
- CVPR 2025Identity-preserving Distillation Sampling by Fixed-Point Iterator
- CVPR 2025Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
- CVPR 2025Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery
- CVPR 2025PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
- CVPR 2025SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
- CVPR 2025Sampling Innovation-Based Adaptive Compressive Sensing
- CVPR 2025Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
- CVPR 2025StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
- CVPR 2025Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling
- CVPR 2024Accelerating Diffusion Sampling with Optimized Time Steps
- CVPR 2024Accelerating Neural Field Training via Soft Mining
- CVPR 2024Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
- CVPR 2024Deep Equilibrium Diffusion Restoration with Parallel Sampling
- CVPR 2024Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
- CVPR 2024Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
- CVPR 2024FastMAC: Stochastic Spectral Sampling of Correspondence Graph
- CVPR 2024G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
- CVPR 2024Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
- CVPR 2024HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
- CVPR 2024Improving Graph Contrastive Learning via Adaptive Positive Sampling
- CVPR 2024KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
- CVPR 2024L0-Sampler: An L0 Model Guided Volume Sampling for NeRF
- CVPR 2024LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
- CVPR 2024Neural Redshift: Random Networks are not Random Functions
- CVPR 2024Pick-or-Mix: Dynamic Channel Sampling for ConvNets
- CVPR 2024Posterior Distillation Sampling
- CVPR 2024Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
- CVPR 2024Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
- CVPR 2023Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
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FAQ
- How many Sampling Methods papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 640 in total: 122 in 2023, 156 in 2024, 167 in 2025, 195 in 2026.
- How many Sampling Methods papers are at NeurIPS 2026?
- NeurIPS 2026 has 64 Sampling Methods papers, versus 67 the year before.
- How many Sampling Methods papers are at ICLR 2026?
- ICLR 2026 has 46 Sampling Methods papers, versus 48 the year before.
- How many Sampling Methods papers are at ICML 2026?
- ICML 2026 has 71 Sampling Methods papers, versus 36 the year before.
- How many Sampling Methods papers are at CVPR 2026?
- CVPR 2026 has 14 Sampling Methods papers, versus 16 the year before.
- Which conference publishes the most Sampling Methods papers?
- NeurIPS, with 221 papers from 2023 to 2026.