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 52 篇,第 1 / 2 页
- CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
- CVPR 2025A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts
- CVPR 2025ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
- CVPR 2025ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
- CVPR 2025Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
- CVPR 2025Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
- CVPR 2025Adaptive Parameter Selection for Tuning Vision-Language Models
- CVPR 2025Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement
- CVPR 2025Adaptive Rectangular Convolution for Remote Sensing Pansharpening
- CVPR 2025Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
- CVPR 2025AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments
- CVPR 2025ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation
- CVPR 2025Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model
- CVPR 2025AniGrad: Anisotropic Gradient-Adaptive Sampling for 3D Reconstruction From Monocular Video
- CVPR 2025APT: Adaptive Personalized Training for Diffusion Models with Limited Data
- CVPR 2025ATA: Adaptive Transformation Agent for Text-Guided Subject-Position Variable Background Inpainting
- CVPR 2025ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
- CVPR 2025AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
- CVPR 2025COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
- CVPR 2025Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression
- CVPR 2025Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
- CVPR 2025DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
- CVPR 2025Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization
- CVPR 2025FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
- CVPR 2025GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven
- CVPR 2025HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery
- CVPR 2025ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
- CVPR 2025Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
- CVPR 2025Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
- CVPR 2025LOD-GS: Achieving Levels of Detail using Scalable Gaussian Soup
- CVPR 2025LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences
- CVPR 2025Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment
- CVPR 2025MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks
- CVPR 2025MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
- CVPR 2025Mixture of Submodules for Domain Adaptive Person Search
- CVPR 2025Multirate Neural Image Compression with Adaptive Lattice Vector Quantization
- CVPR 2025PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
- CVPR 2025Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater
- CVPR 2025Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression
- CVPR 2025PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval
- CVPR 2025Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression
- CVPR 2025Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
- CVPR 2025Sampling Innovation-Based Adaptive Compressive Sensing
- CVPR 2025SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
- CVPR 2025SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks
- CVPR 2025Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
- CVPR 2025Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
- CVPR 2025SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
- CVPR 2025Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
- CVPR 2025Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning
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。