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 410 篇,第 8 / 9 页
- NeurIPS 2026Horizon Adaptive Offline Policy Learning via Value Stitching
- NeurIPS 2026ICAT: Incident-Case–Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models
- NeurIPS 2026Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
- NeurIPS 2026Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
- NeurIPS 2026Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms
- NeurIPS 2026Instance-Adaptive Online Multicalibration
- NeurIPS 2026Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
- NeurIPS 2026Large Language Models Enhanced Covariate-adjusted Response-adaptive Randomization Design
- NeurIPS 2026Learning a Task-Adaptive Low-Dimensional Semantic Space for Improved Visual Classification
- NeurIPS 2026Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion
- NeurIPS 2026Learning When to Think: Adaptive Internal Computation for Reinforcement Learning
- NeurIPS 2026Lemon: Evidence-Risk-Aware Adaptive Organization for Long-Horizon LLM Agents
- NeurIPS 2026Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension
- NeurIPS 2026MARS: Harmonizing Multimodal Convergence via Adaptive Rank Search
- NeurIPS 2026MARS: Multi-resolution Adaptive Routing for Sequential Recommendation
- NeurIPS 2026Matrix-Free Stochastic Training of Low-Rank Spectral Graph Learning via Randomized Adaptive Spectral Estimation
- NeurIPS 2026Mesh Invaiant Infinite Dimensional Adaptive MCMC for Latent Gaussian Processes
- NeurIPS 2026MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
- NeurIPS 2026MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM
- NeurIPS 2026Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
- NeurIPS 2026Network of Theseus (Like the ship)
- NeurIPS 2026Objective-Aligned Amortized Inference for Offline Bayes-Adaptive MDP Model Learning
- NeurIPS 2026Online Active Testing: Adaptive Importance Sampling for Unbiased Risk Estimation in Data Streams
- NeurIPS 2026Online Minimum Description Length Passive-Aggressive Algorithms
- NeurIPS 2026Optimal Rates for Adaptive Private $k$-PCA
- NeurIPS 2026Orthogonal Updates for the Win: Towards Accelerated Adaptive Minimax Optimization
- NeurIPS 2026PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
- NeurIPS 2026Path Dependence under Adaptive AI Delegation
- NeurIPS 2026Phase-Adaptive Fusion: Spatio-Temporal Modulation for VLA Models
- NeurIPS 2026Phases of Muon: When Muon Eclipses SignSGD
- NeurIPS 2026Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer
- NeurIPS 2026RAPTOR: Ridge-Adaptive Logistic Probes
- NeurIPS 2026Recovering Evolving User Preference State via Adaptive Interaction-aware Representation Correction
- NeurIPS 2026Reference-Guided Training: Adaptive Gradient Scaling via Per-Sample Loss Comparisons
- NeurIPS 2026Reinforcement Learning for View-Adaptive Distillation in 3D Gaussian Compression
- NeurIPS 2026Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
- NeurIPS 2026Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents
- NeurIPS 2026SDHilb: Schrödinger Dynamics-Guided Neural Network with Adaptive Multi-Scale Hilbert Transform for Time Series Forecasting
- NeurIPS 2026SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models
- NeurIPS 2026SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
- NeurIPS 2026SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots
- NeurIPS 2026Spectral Adaptive Repositioning for Flow-Based Single-Cell Perturbation Modeling
- NeurIPS 2026Spike-to-Field Mechanisms of Turbulence-Like Dynamics in Spatial Spiking Neural Networks
- NeurIPS 2026Stable GFlowNets with Probabilistic Guarantees
- NeurIPS 2026STABLE: A Continual Learning Optimizer with Adaptive Drift Control
- NeurIPS 2026Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
- NeurIPS 2026Strengthen Out-of-Distribution Detection via Adaptive Mahalanobis Gap
- NeurIPS 2026Strongly Adaptive Online Learning with Time-Varying Movement Cost
- NeurIPS 2026T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals
- NeurIPS 2026Taking the Road Less Scheduled with Adaptive Polyak Steps
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。