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 183 篇，第 2 / 4 页

51. ICLR 2024Adaptive Rational Activations to Boost Deep Reinforcement Learning
52. ICLR 2024Adaptive Regret for Bandits Made Possible: Two Queries Suffice
53. ICLR 2024Adaptive Window Pruning for Efficient Local Motion Deblurring
54. ICLR 2024Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
55. ICLR 2024ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
56. ICLR 2024Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
57. ICLR 2024Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
58. ICLR 2024Efficient Backpropagation with Variance Controlled Adaptive Sampling
59. ICLR 2024FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
60. ICLR 2024Generalization in diffusion models arises from geometry-adaptive harmonic representations
61. ICLR 2024Implicit Maximum a Posteriori Filtering via Adaptive Optimization
62. ICLR 2024Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
63. ICLR 2024Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
64. ICLR 2024Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
65. ICLR 2024SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
66. ICLR 2024Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
67. ICLR 2024Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
68. ICLR 2024Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
69. ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
70. ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
71. ICML 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
72. ICML 2024Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
73. ICML 2024Adaptive Accompaniment with ReaLchords
74. ICML 2024Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
75. ICML 2024Adaptive Conformal Inference by Betting
76. ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
77. ICML 2024Adaptive Group Personalization for Federated Mutual Transfer Learning
78. ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
79. ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
80. ICML 2024Adaptive Observation Cost Control for Variational Quantum Eigensolvers
81. ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
82. ICML 2024Adaptive Robust Learning using Latent Bernoulli Variables
83. ICML 2024Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
84. ICML 2024Adaptive Text Watermark for Large Language Models
85. ICML 2024Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
86. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
87. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
88. ICML 2024Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
89. ICML 2024Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
90. ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
91. ICML 2024Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
92. ICML 2024Discounted Adaptive Online Learning: Towards Better Regularization
93. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
94. ICML 2024FADAS: Towards Federated Adaptive Asynchronous Optimization
95. ICML 2024Faster Adaptive Decentralized Learning Algorithms
96. ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
97. ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
98. ICML 2024How Private are DP-SGD Implementations?
99. ICML 2024Learning Multiple Secrets in Mastermind
100. ICML 2024Learning with Adaptive Resource Allocation

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。