自适应方法论文趋势 2023–2026
Adam 类与调度
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,012 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 54 | 24 | 22 | 43 | 143 |
| 2024 | 64 | 22 | 51 | 46 | 183 |
| 2025 | 109 | 47 | 68 | 52 | 276 |
| 2026 | 138 | 80 | 109 | 83 | 410 |
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 54 篇,第 1 / 2 页
- NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
- NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
- NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
- NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
- NeurIPS 2023Adaptive Algorithms for Relaxed Pareto Set Identification
- NeurIPS 2023Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects
- NeurIPS 2023Adaptive Linear Estimating Equations
- NeurIPS 2023Adaptive Online Replanning with Diffusion Models
- NeurIPS 2023Adaptive Privacy Composition for Accuracy-first Mechanisms
- NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
- NeurIPS 2023Adaptive Test-Time Personalization for Federated Learning
- NeurIPS 2023Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
- NeurIPS 2023Adaptive whitening with fast gain modulation and slow synaptic plasticity
- NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
- NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
- NeurIPS 2023Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
- NeurIPS 2023BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
- NeurIPS 2023Block Broyden's Methods for Solving Nonlinear Equations
- NeurIPS 2023Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
- NeurIPS 2023Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
- NeurIPS 2023Byzantine-Tolerant Methods for Distributed Variational Inequalities
- NeurIPS 2023Closing the gap between the upper bound and lower bound of Adam's iteration complexity
- NeurIPS 2023Convergence of Adam Under Relaxed Assumptions
- NeurIPS 2023Covariance-adaptive best arm identification
- NeurIPS 2023Dynamic Personalized Federated Learning with Adaptive Differential Privacy
- NeurIPS 2023Fair Adaptive Experiments
- NeurIPS 2023FAMO: Fast Adaptive Multitask Optimization
- NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
- NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- NeurIPS 2023How Does Adaptive Optimization Impact Local Neural Network Geometry?
- NeurIPS 2023IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
- NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
- NeurIPS 2023Improving Robustness with Adaptive Weight Decay
- NeurIPS 2023Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
- NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
- NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
- NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
- NeurIPS 2023NAS-X: Neural Adaptive Smoothing via Twisting
- NeurIPS 2023Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
- NeurIPS 2023Optimal Preconditioning and Fisher Adaptive Langevin Sampling
- NeurIPS 2023Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
- NeurIPS 2023Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems
- NeurIPS 2023Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
- NeurIPS 2023QuIP: 2-Bit Quantization of Large Language Models With Guarantees
- NeurIPS 2023Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
- NeurIPS 2023Smooth Flipping Probability for Differential Private Sign Random Projection Methods
- NeurIPS 2023Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
- NeurIPS 2023Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
- NeurIPS 2023Swarm Reinforcement Learning for Adaptive Mesh Refinement
- NeurIPS 2023Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
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 查自适应方法在 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": "adaptive-methods"}
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。