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 138 篇，第 1 / 3 页

1. NeurIPS 20262D Spatial Reasoning with Adaptive Neural Cellular Automata
2. NeurIPS 2026A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
3. NeurIPS 2026A$^2$IQL: Adaptive Asymmetric Implicit Q Learning for Automated Warehouse Consolidation
4. NeurIPS 2026ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control
5. NeurIPS 2026AcceleGrad#: Adaptive Geometry-Aware Acceleration
6. NeurIPS 2026AdaCal: Adaptive Calibration for Robust Sparse Attention in Long-Context LLMs
7. NeurIPS 2026AdaKVQ: Adaptive Mixed-Precision KV Cache Quantization For Efficient Reasoning Models
8. NeurIPS 2026AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation
9. NeurIPS 2026AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks
10. NeurIPS 2026AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
11. NeurIPS 2026AdapMatch: Adaptive Bias Decoupling for Semi-Supervised Partial Label Learning under Unknown Class Distributions
12. NeurIPS 2026Adapting to Conflict: Equilibrium Structure and Adaptive Learning in Harmonic Games
13. NeurIPS 2026Adaptive and Neutral Theory of Evolution Strategies for Large Language Models
14. NeurIPS 2026Adaptive auditing of AI systems with anytime-valid guarantees
15. NeurIPS 2026Adaptive Calibration in Non-Stationary Environments
16. NeurIPS 2026Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
17. NeurIPS 2026Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection
18. NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
19. NeurIPS 2026Adaptive Feature Propagation for Attribute-Missing Graph Clustering
20. NeurIPS 2026Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits
21. NeurIPS 2026Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification
22. NeurIPS 2026Adaptive Inference for Functionals of M-Estimands
23. NeurIPS 2026Adaptive Internal Readout for Native Multimodal Models
24. NeurIPS 2026Adaptive Multi-view Graph Contrastive Learning via Fractional Continuous Dynamics
25. NeurIPS 2026Adaptive Power Iteration Method for Differentially Private PCA
26. NeurIPS 2026Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
27. NeurIPS 2026Adaptive Random Forests from Online Learning and Testing by Betting
28. NeurIPS 2026Adaptive Scheduling Pipeline For Multi-Instance Asynchronous Reinforcement Learning
29. NeurIPS 2026Adaptive Stepsizes for Eligibility Traces in Deep Reinforcement Learning
30. NeurIPS 2026Adaptive Target-Charging with Privacy Filters and Individual Accounting
31. NeurIPS 2026Adaptive-Margin Masking and Restoration for Balanced Multimodal Learning
32. NeurIPS 2026AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
33. NeurIPS 2026AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation
34. NeurIPS 2026AdaSRU: Adaptive Source-Free Recommendation Unlearning via Gradient-Constrained Optimization
35. NeurIPS 2026AdaST: Adaptive Coupling for Spatial-Temporal Forecasting
36. NeurIPS 2026AdaTree: Serving-Aware Adaptive Tree Construction for Speculative Decoding
37. NeurIPS 2026AdERA: Adaptive Exponent Reuse for Lossless Allgather in Sharded MoE Training
38. NeurIPS 2026ADKV: A Low-Overhead Adaptive Delta Quantization for KV Cache in LLM Inference
39. NeurIPS 2026AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning
40. NeurIPS 2026AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
41. NeurIPS 2026AMARIS: Merging Generalist and Specialist LLMs via Adaptive Subspace Inheritance
42. NeurIPS 2026AMPS: Adaptive Modality Preference Steering via Functional Entropy
43. NeurIPS 2026ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
44. NeurIPS 2026Anytime-Valid PAC-Bayes Certificates for Adaptive Test-Time Scaling
45. NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
46. NeurIPS 2026ASAP: Fast Adaptive Sliding Agnostic Poisoning Attack on Federated Learning
47. NeurIPS 2026Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
48. NeurIPS 2026AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals
49. NeurIPS 2026BACE: Behavior-Adaptive Connectivity Estimation from Multi-Region Neural Recordings
50. NeurIPS 2026BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates

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。