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 80 篇，第 2 / 2 页

51. ICLR 2026LogART: Pushing the Limit of Efficient Logarithmic Post-Training Quantization
52. ICLR 2026Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation
53. ICLR 2026MambaSL: Exploring Single-Layer Mamba for Time Series Classification
54. ICLR 2026MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention
55. ICLR 2026MIRACLE: Model-free Imitation and Reinforcement Learning for Adaptive Cut-Selection
56. ICLR 2026Multi-LLM Adaptive Conformal Inference for Reliable LLM Response
57. ICLR 2026NAB: Neural Adaptive Binning for Sparse-View CT reconstruction
58. ICLR 2026Native Adaptive Solution Expansion for Diffusion-based Combinatorial Optimization
59. ICLR 2026Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization
60. ICLR 2026Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning
61. ICLR 2026Offline Reinforcement Learning with Adaptive Feature Fusion
62. ICLR 2026Optimizer Choice Matters For The Emergence of Neural Collapse
63. ICLR 2026Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
64. ICLR 2026Robust Equation Structure learning with Adaptive Refinement
65. ICLR 2026SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression
66. ICLR 2026Scalable and Adaptive Trust-Region Learning via Projection Convex Hull
67. ICLR 2026SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier
68. ICLR 2026SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration
69. ICLR 2026Softmax is not Enough (for Adaptive Conformal Classification)
70. ICLR 2026SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization
71. ICLR 2026SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
72. ICLR 2026Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
73. ICLR 2026STAT: Skill-Targeted Adaptive Training
74. ICLR 2026Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
75. ICLR 2026Tackling the XAI Disagreement Problem with Adaptive Feature Grouping
76. ICLR 2026Task-free Adaptive Meta Black-box Optimization
77. ICLR 2026Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
78. ICLR 2026ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models
79. ICLR 2026Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
80. ICLR 2026UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs

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。