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 1,012 篇，第 14 / 21 页

  1. NeurIPS 2025Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
  2. NeurIPS 2025Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
  3. NeurIPS 2025Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
  4. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
  5. NeurIPS 2025Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
  6. NeurIPS 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
  7. NeurIPS 2025MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
  8. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
  9. NeurIPS 2025Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  10. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
  11. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
  12. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
  13. NeurIPS 2025No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization
  14. NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
  15. NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
  16. NeurIPS 2025Pattern-Guided Adaptive Prior for Structure Learning
  17. NeurIPS 2025PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
  18. NeurIPS 2025Position: AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift
  19. NeurIPS 2025Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
  20. NeurIPS 2025Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
  21. NeurIPS 2025QuARI: Query Adaptive Retrieval Improvement
  22. NeurIPS 2025RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
  23. NeurIPS 2025Reinforced Context Order Recovery for Adaptive Reasoning and Planning
  24. NeurIPS 2025RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
  25. NeurIPS 2025Robust Hallucination Detection in LLMs via Adaptive Token Selection
  26. NeurIPS 2025Scalable and adaptive prediction bands with kernel sum-of-squares
  27. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments
  28. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
  29. NeurIPS 2025Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
  30. NeurIPS 2025Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
  31. NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
  32. NeurIPS 2025Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
  33. NeurIPS 2025Tight Bounds for Answering Adaptively Chosen Concentrated Queries
  34. NeurIPS 2025TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
  35. NeurIPS 2025Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning
  36. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
  37. CVPR 2024AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
  38. CVPR 2024Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration
  39. CVPR 2024Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
  40. CVPR 2024Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
  41. CVPR 2024Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
  42. CVPR 2024Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
  43. CVPR 2024Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
  44. CVPR 2024Adaptive Softassign via Hadamard-Equipped Sinkhorn
  45. CVPR 2024Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning
  46. CVPR 2024AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
  47. CVPR 2024AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
  48. CVPR 2024Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
  49. CVPR 2024ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
  50. CVPR 2024Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening

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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