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 1 / 3 页

1. NeurIPS 2025A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction
2. NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
3. NeurIPS 2025AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
4. NeurIPS 2025Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
5. NeurIPS 2025Accelerating Diffusion LLMs via Adaptive Parallel Decoding
6. NeurIPS 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
7. NeurIPS 2025Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
8. NeurIPS 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
9. NeurIPS 2025AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining
10. NeurIPS 2025Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
11. NeurIPS 2025AdaptGrad: Adaptive Sampling to Reduce Noise
12. NeurIPS 2025Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
13. NeurIPS 2025Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
14. NeurIPS 2025Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
15. NeurIPS 2025Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
16. NeurIPS 2025Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
17. NeurIPS 2025Adaptive Discretization for Consistency Models
18. NeurIPS 2025Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
19. NeurIPS 2025Adaptive Inference-Time Scaling via Cyclic Diffusion Search
20. NeurIPS 2025Adaptive Latent-Space Constraints in Personalized Federated Learning
21. NeurIPS 2025Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
22. NeurIPS 2025Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
23. NeurIPS 2025Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
24. NeurIPS 2025Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
25. NeurIPS 2025Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
26. NeurIPS 2025Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
27. NeurIPS 2025Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
28. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
29. NeurIPS 2025Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond
30. NeurIPS 2025AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
31. NeurIPS 2025AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
32. NeurIPS 2025An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
33. NeurIPS 2025An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
34. NeurIPS 2025APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
35. NeurIPS 2025ARM: Adaptive Reasoning Model
36. NeurIPS 2025ASGO: Adaptive Structured Gradient Optimization
37. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
38. NeurIPS 2025Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
39. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
40. NeurIPS 2025Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
41. NeurIPS 2025Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
42. NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
43. NeurIPS 2025CAT: Content-Adaptive Image Tokenization
44. NeurIPS 2025Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning
45. NeurIPS 2025Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
46. NeurIPS 2025Data-Adaptive Exposure Thresholds under Network Interference
47. NeurIPS 2025Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
48. NeurIPS 2025DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
49. NeurIPS 2025Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
50. NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search

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。