自适应方法论文趋势 2023–2026

Adam 类与调度

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,012 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

自适应方法论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202354242243143
202464225146183
2025109476852276
20261388010983410

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

全部自适应方法论文

共 276 篇,第 5 / 6 页

  1. NeurIPS 2025APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
  2. NeurIPS 2025ARM: Adaptive Reasoning Model
  3. NeurIPS 2025ASGO: Adaptive Structured Gradient Optimization
  4. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
  5. NeurIPS 2025Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
  6. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
  7. NeurIPS 2025Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
  8. NeurIPS 2025Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
  9. NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
  10. NeurIPS 2025CAT: Content-Adaptive Image Tokenization
  11. NeurIPS 2025Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning
  12. NeurIPS 2025Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
  13. NeurIPS 2025Data-Adaptive Exposure Thresholds under Network Interference
  14. NeurIPS 2025Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
  15. NeurIPS 2025DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
  16. NeurIPS 2025Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
  17. NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
  18. NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
  19. NeurIPS 2025Efficient Adaptive Experimentation with Noncompliance
  20. NeurIPS 2025Efficient Adaptive Federated Optimization
  21. NeurIPS 2025Efficient RAW Image Deblurring with Adaptive Frequency Modulation
  22. NeurIPS 2025Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
  23. NeurIPS 2025Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
  24. NeurIPS 2025FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
  25. NeurIPS 2025Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
  26. NeurIPS 2025FEAT: Free energy Estimators with Adaptive Transport
  27. NeurIPS 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
  28. NeurIPS 2025Functional Complexity-adaptive Temporal Tensor Decomposition
  29. NeurIPS 2025Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
  30. NeurIPS 2025GoRA: Gradient-driven Adaptive Low Rank Adaptation
  31. NeurIPS 2025Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
  32. NeurIPS 2025HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
  33. NeurIPS 2025How Memory in Optimization Algorithms Implicitly Modifies the Loss
  34. NeurIPS 2025Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
  35. NeurIPS 2025In Search of Adam’s Secret Sauce
  36. NeurIPS 2025Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
  37. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
  38. NeurIPS 2025Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
  39. NeurIPS 2025LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
  40. NeurIPS 2025Learn2Mix: Training Neural Networks Using Adaptive Data Integration
  41. NeurIPS 2025Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
  42. NeurIPS 2025Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
  43. NeurIPS 2025Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
  44. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
  45. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
  46. NeurIPS 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
  47. NeurIPS 2025MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
  48. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
  49. NeurIPS 2025Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  50. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查自适应方法在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "adaptive-methods"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

「优化与缩放」下的其他主题