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 183 篇，第 4 / 4 页
- NeurIPS 2024Efficient Centroid-Linkage Clustering
- NeurIPS 2024Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
- NeurIPS 2024Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
- NeurIPS 2024Enhancing Large Language Models through Adaptive Tokenizers
- NeurIPS 2024FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
- NeurIPS 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
- NeurIPS 2024Gradient-Variation Online Learning under Generalized Smoothness
- NeurIPS 2024GRANOLA: Adaptive Normalization for Graph Neural Networks
- NeurIPS 2024Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
- NeurIPS 2024High-Resolution Image Harmonization with Adaptive-Interval Color Transformation
- NeurIPS 2024Improving Neural ODE Training with Temporal Adaptive Batch Normalization
- NeurIPS 2024Layer-Adaptive State Pruning for Deep State Space Models
- NeurIPS 2024Learning to Understand: Identifying Interactions via the Möbius Transform
- NeurIPS 2024Local and Adaptive Mirror Descents in Extensive-Form Games
- NeurIPS 2024Localized Adaptive Risk Control
- NeurIPS 2024MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
- NeurIPS 2024MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
- NeurIPS 2024Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
- NeurIPS 2024Optimal and Approximate Adaptive Stochastic Quantization
- NeurIPS 2024Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
- NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
- NeurIPS 2024Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
- NeurIPS 2024Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
- NeurIPS 2024Score-Optimal Diffusion Schedules
- NeurIPS 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
- NeurIPS 2024Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
- NeurIPS 2024Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
- NeurIPS 2024Spiking Neural Network as Adaptive Event Stream Slicer
- NeurIPS 2024SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation
- NeurIPS 2024The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
- NeurIPS 2024Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
- NeurIPS 2024Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
- NeurIPS 2024Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
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。