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 51 篇，第 1 / 2 页

1. ICML 2024A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
2. ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
3. ICML 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
4. ICML 2024Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
5. ICML 2024Adaptive Accompaniment with ReaLchords
6. ICML 2024Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
7. ICML 2024Adaptive Conformal Inference by Betting
8. ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
9. ICML 2024Adaptive Group Personalization for Federated Mutual Transfer Learning
10. ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
11. ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
12. ICML 2024Adaptive Observation Cost Control for Variational Quantum Eigensolvers
13. ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
14. ICML 2024Adaptive Robust Learning using Latent Bernoulli Variables
15. ICML 2024Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
16. ICML 2024Adaptive Text Watermark for Large Language Models
17. ICML 2024Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
18. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
19. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
20. ICML 2024Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
21. ICML 2024Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
22. ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
23. ICML 2024Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
24. ICML 2024Discounted Adaptive Online Learning: Towards Better Regularization
25. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
26. ICML 2024FADAS: Towards Federated Adaptive Asynchronous Optimization
27. ICML 2024Faster Adaptive Decentralized Learning Algorithms
28. ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
29. ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
30. ICML 2024How Private are DP-SGD Implementations?
31. ICML 2024Learning Multiple Secrets in Mastermind
32. ICML 2024Learning with Adaptive Resource Allocation
33. ICML 2024MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
34. ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
35. ICML 2024Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering
36. ICML 2024Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
37. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
38. ICML 2024On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
39. ICML 2024On the Implicit Bias of Adam
40. ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
41. ICML 2024Online Adaptive Anomaly Thresholding with Confidence Sequences
42. ICML 2024Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks
43. ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
44. ICML 2024PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
45. ICML 2024Privacy Preserving Adaptive Experiment Design
46. ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
47. ICML 2024RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
48. ICML 2024Small-loss Adaptive Regret for Online Convex Optimization
49. ICML 2024Smoothness Adaptive Hypothesis Transfer Learning
50. ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens

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。