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

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 365 篇，第 5 / 8 页

  1. NeurIPS 2025GoRA: Gradient-driven Adaptive Low Rank Adaptation
  2. NeurIPS 2025Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
  3. NeurIPS 2025HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
  4. NeurIPS 2025How Memory in Optimization Algorithms Implicitly Modifies the Loss
  5. NeurIPS 2025Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
  6. NeurIPS 2025In Search of Adam’s Secret Sauce
  7. NeurIPS 2025Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
  8. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
  9. NeurIPS 2025Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
  10. NeurIPS 2025LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
  11. NeurIPS 2025Learn2Mix: Training Neural Networks Using Adaptive Data Integration
  12. NeurIPS 2025Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
  13. NeurIPS 2025Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
  14. NeurIPS 2025Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
  15. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
  16. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
  17. NeurIPS 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
  18. NeurIPS 2025MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
  19. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
  20. NeurIPS 2025Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  21. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
  22. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
  23. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
  24. NeurIPS 2025No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization
  25. NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
  26. NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
  27. NeurIPS 2025Pattern-Guided Adaptive Prior for Structure Learning
  28. NeurIPS 2025PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
  29. NeurIPS 2025Position: AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
  30. NeurIPS 2025Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
  31. NeurIPS 2025Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
  32. NeurIPS 2025QuARI: Query Adaptive Retrieval Improvement
  33. NeurIPS 2025RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
  34. NeurIPS 2025Reinforced Context Order Recovery for Adaptive Reasoning and Planning
  35. NeurIPS 2025RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
  36. NeurIPS 2025Robust Hallucination Detection in LLMs via Adaptive Token Selection
  37. NeurIPS 2025Scalable and adaptive prediction bands with kernel sum-of-squares
  38. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments
  39. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
  40. NeurIPS 2025Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
  41. NeurIPS 2025Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
  42. NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
  43. NeurIPS 2025Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
  44. NeurIPS 2025Tight Bounds for Answering Adaptively Chosen Concentrated Queries
  45. NeurIPS 2025TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
  46. NeurIPS 2025Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning
  47. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
  48. NeurIPS 2024A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration
  49. NeurIPS 2024Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
  50. NeurIPS 2024AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

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。

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