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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 54 | 24 | 22 | 43 | 143 |
| 2024 | 64 | 22 | 51 | 46 | 183 |
| 2025 | 109 | 47 | 68 | 52 | 276 |
| 2026 | 138 | 80 | 109 | 83 | 410 |
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 43 篇,第 1 / 1 页
- CVPR 2023ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
- CVPR 2023AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
- CVPR 2023Adaptive Annealing for Robust Geometric Estimation
- CVPR 2023Adaptive Assignment for Geometry Aware Local Feature Matching
- CVPR 2023Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity
- CVPR 2023Adaptive Data-Free Quantization
- CVPR 2023Adaptive Global Decay Process for Event Cameras
- CVPR 2023Adaptive Graph Convolutional Subspace Clustering
- CVPR 2023Adaptive Human Matting for Dynamic Videos
- CVPR 2023Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
- CVPR 2023Adaptive Plasticity Improvement for Continual Learning
- CVPR 2023Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images
- CVPR 2023Adaptive Sparse Pairwise Loss for Object Re-Identification
- CVPR 2023Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
- CVPR 2023All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations
- CVPR 2023Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
- CVPR 2023Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
- CVPR 2023CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning
- CVPR 2023Class Adaptive Network Calibration
- CVPR 2023Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
- CVPR 2023Contrastive Mean Teacher for Domain Adaptive Object Detectors
- CVPR 2023Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets
- CVPR 2023DATE: Domain Adaptive Product Seeker for E-Commerce
- CVPR 2023DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation
- CVPR 2023Energy-Efficient Adaptive 3D Sensing
- CVPR 2023FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection
- CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
- CVPR 2023IMP: Iterative Matching and Pose Estimation With Adaptive Pooling
- CVPR 2023Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
- CVPR 2023Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation
- CVPR 2023Learning Adaptive Dense Event Stereo From the Image Domain
- CVPR 2023Meta-Learning With a Geometry-Adaptive Preconditioner
- CVPR 2023MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
- CVPR 2023MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding
- CVPR 2023MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer
- CVPR 2023NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling
- CVPR 2023ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients
- CVPR 2023SCoDA: Domain Adaptive Shape Completion for Real Scans
- CVPR 2023Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
- CVPR 2023Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures
- CVPR 2023UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
- CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
- CVPR 2023Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning
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"}
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。