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 109 篇，第 2 / 3 页

51. NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
52. NeurIPS 2025Efficient Adaptive Experimentation with Noncompliance
53. NeurIPS 2025Efficient Adaptive Federated Optimization
54. NeurIPS 2025Efficient RAW Image Deblurring with Adaptive Frequency Modulation
55. NeurIPS 2025Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
56. NeurIPS 2025Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
57. NeurIPS 2025FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
58. NeurIPS 2025Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
59. NeurIPS 2025FEAT: Free energy Estimators with Adaptive Transport
60. NeurIPS 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
61. NeurIPS 2025Functional Complexity-adaptive Temporal Tensor Decomposition
62. NeurIPS 2025Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
63. NeurIPS 2025GoRA: Gradient-driven Adaptive Low Rank Adaptation
64. NeurIPS 2025Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
65. NeurIPS 2025HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
66. NeurIPS 2025How Memory in Optimization Algorithms Implicitly Modifies the Loss
67. NeurIPS 2025Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
68. NeurIPS 2025In Search of Adam’s Secret Sauce
69. NeurIPS 2025Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
70. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
71. NeurIPS 2025Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
72. NeurIPS 2025LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
73. NeurIPS 2025Learn2Mix: Training Neural Networks Using Adaptive Data Integration
74. NeurIPS 2025Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
75. NeurIPS 2025Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
76. NeurIPS 2025Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
77. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
78. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
79. NeurIPS 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
80. NeurIPS 2025MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
81. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
82. NeurIPS 2025Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
83. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
84. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
85. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
86. NeurIPS 2025No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization
87. NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
88. NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
89. NeurIPS 2025Pattern-Guided Adaptive Prior for Structure Learning
90. NeurIPS 2025PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
91. NeurIPS 2025Position: AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
92. NeurIPS 2025Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
93. NeurIPS 2025Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
94. NeurIPS 2025QuARI: Query Adaptive Retrieval Improvement
95. NeurIPS 2025RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
96. NeurIPS 2025Reinforced Context Order Recovery for Adaptive Reasoning and Planning
97. NeurIPS 2025RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
98. NeurIPS 2025Robust Hallucination Detection in LLMs via Adaptive Token Selection
99. NeurIPS 2025Scalable and adaptive prediction bands with kernel sum-of-squares
100. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments

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。