自适应方法论文趋势 2023–2026

主要结论

• 自适应方法论文从 2023 年的 143 篇增长到 2026 年的 410 篇，三年间扩大到约 2.9 倍。
• NeurIPS 是发自适应方法论文最多的会议，2023–2026 年共 365 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是理论 · optimization：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 29 篇。
• 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的缩放定律是 4.1 倍，自适应方法是 2.9 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 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
• ICML 2026Adaptive Bandit Algorithms for Contextual Matching Markets
• ICLR 2026Adaptive Width Neural Networks
• CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
• NeurIPS 2025AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
• ICML 2025Adaptive Data Collection for Robust Learning Across Multiple Distributions
• ICLR 2025Adaptive Length Image Tokenization via Recurrent Allocation
• CVPR 2025A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts
• NeurIPS 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
• ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
• ICLR 2024Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
• CVPR 2024HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
• NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
• ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
• ICLR 2023An Adaptive Policy to Employ Sharpness-Aware Minimization
• CVPR 2023Adaptive Annealing for Robust Geometric Estimation
• NeurIPS 2026AdapMatch: Adaptive Bias Decoupling for Semi-Supervised Partial Label Learning under Unknown Class Distributions
• ICML 2026Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
• ICLR 2026ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
• CVPR 2026Adaptive Learned Image Compression with Graph Neural Networks

全部自适应方法论文

共 138 篇，第 3 / 3 页

101. NeurIPS 2026Online Active Testing: Adaptive Importance Sampling for Unbiased Risk Estimation in Data Streams
102. NeurIPS 2026Online Minimum Description Length Passive-Aggressive Algorithms
103. NeurIPS 2026Optimal Rates for Adaptive Private $k$-PCA
104. NeurIPS 2026Orthogonal Updates for the Win: Towards Accelerated Adaptive Minimax Optimization
105. NeurIPS 2026PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
106. NeurIPS 2026Path Dependence under Adaptive AI Delegation
107. NeurIPS 2026Phase-Adaptive Fusion: Spatio-Temporal Modulation for VLA Models
108. NeurIPS 2026Phases of Muon: When Muon Eclipses SignSGD
109. NeurIPS 2026Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer
110. NeurIPS 2026RAPTOR: Ridge-Adaptive Logistic Probes
111. NeurIPS 2026Recovering Evolving User Preference State via Adaptive Interaction-aware Representation Correction
112. NeurIPS 2026Reference-Guided Training: Adaptive Gradient Scaling via Per-Sample Loss Comparisons
113. NeurIPS 2026Reinforcement Learning for View-Adaptive Distillation in 3D Gaussian Compression
114. NeurIPS 2026Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
115. NeurIPS 2026Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents
116. NeurIPS 2026SDHilb: Schrödinger Dynamics-Guided Neural Network with Adaptive Multi-Scale Hilbert Transform for Time Series Forecasting
117. NeurIPS 2026SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models
118. NeurIPS 2026SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
119. NeurIPS 2026SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots
120. NeurIPS 2026Spectral Adaptive Repositioning for Flow-Based Single-Cell Perturbation Modeling
121. NeurIPS 2026Spike-to-Field Mechanisms of Turbulence-Like Dynamics in Spatial Spiking Neural Networks
122. NeurIPS 2026Stable GFlowNets with Probabilistic Guarantees
123. NeurIPS 2026STABLE: A Continual Learning Optimizer with Adaptive Drift Control
124. NeurIPS 2026Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
125. NeurIPS 2026Strengthen Out-of-Distribution Detection via Adaptive Mahalanobis Gap
126. NeurIPS 2026Strongly Adaptive Online Learning with Time-Varying Movement Cost
127. NeurIPS 2026T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals
128. NeurIPS 2026Taking the Road Less Scheduled with Adaptive Polyak Steps
129. NeurIPS 2026The Price of Choosing Examples: Context Overfitting in Adaptive In-Context Learning
130. NeurIPS 2026To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals
131. NeurIPS 2026Towards Reliable LLM Evaluation: Correcting the Winner’s Curse in Adaptive Benchmarking
132. NeurIPS 2026TPRL: Adaptive Visual Token Pruning in LVLMs via Language-Guided Reinforcement Learning
133. NeurIPS 2026TrustFlow: Adaptive Trust Calibration for Language Model Guided Reinforcement Learning
134. NeurIPS 2026Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
135. NeurIPS 2026Variance-Adaptive Optimal Algorithm for Reinforcement Learning with MNL Function Approximation
136. NeurIPS 2026vExpert: Virtualizing Expert Storage for Adaptive Load Balancing in Distributed MoE Inference
137. NeurIPS 2026WaveSem: Frequency-Adaptive Tokenization for Disentangling Semantics and Noise in Genomics
138. NeurIPS 2026Wayfinder: Adaptive Resource Routing from Agent Citations

常见问题

2023–2026 年四大会议一共有多少篇自适应方法论文？

共 1,012 篇，按年份分别是 2023 年 143 篇、2024 年 183 篇、2025 年 276 篇、2026 年 410 篇。

NeurIPS 2026 有多少篇自适应方法论文？

NeurIPS 2026 有 138 篇自适应方法论文，上一届是 109 篇。

ICLR 2026 有多少篇自适应方法论文？

ICLR 2026 有 80 篇自适应方法论文，上一届是 47 篇。

ICML 2026 有多少篇自适应方法论文？

ICML 2026 有 109 篇自适应方法论文，上一届是 68 篇。

CVPR 2026 有多少篇自适应方法论文？

CVPR 2026 有 83 篇自适应方法论文，上一届是 52 篇。

哪个会议的自适应方法论文最多？

NeurIPS，2023–2026 年共 365 篇。