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 250 篇，第 5 / 5 页
- ICML 2024Discounted Adaptive Online Learning: Towards Better Regularization
- ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
- ICML 2024FADAS: Towards Federated Adaptive Asynchronous Optimization
- ICML 2024Faster Adaptive Decentralized Learning Algorithms
- ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
- ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
- ICML 2024How Private are DP-SGD Implementations?
- ICML 2024Learning Multiple Secrets in Mastermind
- ICML 2024Learning with Adaptive Resource Allocation
- ICML 2024MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
- ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
- ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
- ICML 2024Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
- ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
- ICML 2024On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
- ICML 2024On the Implicit Bias of Adam
- ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
- ICML 2024Online Adaptive Anomaly Thresholding with Confidence Sequences
- ICML 2024Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
- ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
- ICML 2024PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
- ICML 2024Privacy Preserving Adaptive Experiment Design
- ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
- ICML 2024RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
- ICML 2024Small-loss Adaptive Regret for Online Convex Optimization
- ICML 2024Smoothness Adaptive Hypothesis Transfer Learning
- ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
- ICML 2024Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs
- ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
- ICML 2023Adaptive Annealed Importance Sampling with Constant Rate Progress
- ICML 2023Adaptive Compositional Continual Meta-Learning
- ICML 2023Adaptive Computation with Elastic Input Sequence
- ICML 2023Adaptive Coordination in Social Embodied Rearrangement
- ICML 2023Adaptive Estimation of Graphical Models under Total Positivity
- ICML 2023Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
- ICML 2023Adaptive Whitening in Neural Populations with Gain-modulating Interneurons
- ICML 2023Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
- ICML 2023Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
- ICML 2023Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
- ICML 2023Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction
- ICML 2023Fully-Adaptive Composition in Differential Privacy
- ICML 2023Improved Online Conformal Prediction via Strongly Adaptive Online Learning
- ICML 2023Learning Rate Schedules in the Presence of Distribution Shift
- ICML 2023LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
- ICML 2023Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers
- ICML 2023Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials
- ICML 2023On the Convergence Rates of Policy Gradient Methods
- ICML 2023Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
- ICML 2023Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
- ICML 2023Uncertainty Estimation for Molecules: Desiderata and Methods
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。