时间序列论文趋势 2023–2026
预测与异常检测
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 2,157 篇被归入该主题的论文。
主要结论
- 时间序列论文从 2023 年的 272 篇增长到 2026 年的 876 篇,三年间扩大到约 3.2 倍。
- NeurIPS 是发时间序列论文最多的会议,2023–2026 年共 757 篇,占四个会议总量的 35%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 85 篇。
- 在「图与结构化数据」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的分子建模是 2.7 倍,时间序列是 3.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 91 | 60 | 62 | 59 | 272 |
| 2024 | 147 | 95 | 114 | 68 | 424 |
| 2025 | 221 | 131 | 159 | 74 | 585 |
| 2026 | 298 | 220 | 264 | 94 | 876 |
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 2026A Batched Hartigan's $k$-Means Clustering
- ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
- ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
- CVPR 2026Activation Matters Test-time Activated Negative Labels for OOD Detection with
- NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
- ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
- ICLR 2025A deep inverse-mapping model for a flapping robotic wing
- CVPR 2025Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization
- NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
- ICML 2024$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
- ICLR 2024ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
- CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
- NeurIPS 2023A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
- ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
- ICLR 2023A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
- CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
- NeurIPS 2026A Locally Tokenized Generative Model for Robust Time-Series Watermarking
- ICML 2026ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
- ICLR 2026A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
- CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
全部时间序列论文
共 875 篇,第 1 / 18 页
- CVPR 2026A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large
- CVPR 2026A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
- CVPR 2026A Stitch in Time Learning Procedural Workflow via Self-Supervised Plackett-Luce
- CVPR 2026Activation Matters Test-time Activated Negative Labels for OOD Detection with
- CVPR 2026AcTTA Rethinking Test-Time Adaptation via Dynamic Activation
- CVPR 2026Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
- CVPR 2026AKCMamba-YOLO Selective State Space Models For Real-Time Object Detection
- CVPR 2026Back to Source Open-Set Continual Test-Time Adaptation via Domain Compensation
- CVPR 2026Changes in Real Time Online Scene Change Detection with Multi-View
- CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
- CVPR 2026Controllable Federated Prompt Learning at Test Time
- CVPR 2026Coupling Liquid Time-Constant Encoders with Modern Hopfield Memory
- CVPR 2026Dance Across Shifts Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style
- CVPR 2026Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation
- CVPR 2026Deep Feature Deformation Weights
- CVPR 2026Defect Cue-Preserved Structural Feature Refinement for Few-Shot Anomaly Detection
- CVPR 2026Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors
- CVPR 2026DLVP-CLIP Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual
- CVPR 2026DreamStereo Towards Real-Time Stereo Inpainting for HD Videos
- CVPR 2026Dual Band Thermal Videography Separating Time-Varying Reflection and Emission Near
- CVPR 2026Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
- CVPR 2026EMMA Extracting Multiple physical parameters from Multimodal Data
- CVPR 2026Enhancing Out-of-Distribution Detection with Extended Logit Normalization
- CVPR 2026Envisioning the Future One Step at a Time
- CVPR 2026EV-CGNet Co-visible Focused 3D-guided 2D Event Keypoint Detection Network
- CVPR 2026Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time
- CVPR 2026Fast-FoundationStereo Real-Time Zero-Shot Stereo Matching
- CVPR 2026FastRef Fast Prototype Refinement for Few-shot Industrial Anomaly Detection
- CVPR 2026Fine-VAD Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning
- CVPR 2026FlashDecoder Real-Time Latent-to-Pixel Streaming Decoder with Transformers
- CVPR 2026From Contrast to Consistency Rethinking Event-based Continuous-Time Optical Flow Estimation
- CVPR 2026Fuel Gauge Estimating Chain-of-Thought Length Ahead of Time in Large
- CVPR 2026Functional Mean Flow in Hilbert Space
- CVPR 2026GHPT Real-Time Relightable Gaussian Splatting using Hybrid Path Tracing
- CVPR 2026Global Underwater Geolocation from Time-Lapse Polarization Imagery
- CVPR 2026GPFlow Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection
- CVPR 2026Heterogeneous Decentralized Diffusion Models
- CVPR 2026InsCal Calibrated Multi-Source Fully Test-Time Prompt Tuning for Object Detection
- CVPR 2026InvAD Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models
- CVPR 2026Just-in-Time Training-Free Spatial Acceleration for Diffusion Transformers
- CVPR 2026KV-Tracker Real-Time Pose Tracking with Transformers
- CVPR 2026LagerNVS Latent Geometry for Fully Neural Real-time Novel View Synthesis
- CVPR 2026Learning 3D Reconstruction with Priors in Test Time
- CVPR 2026Low-Rank Test-Time Training for Pre-Trained Point Cloud Models
- CVPR 2026MoDES Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert
- CVPR 2026MonoSAOD Monocular 3D Object Detection with Sparsely Annotated Label
- CVPR 2026Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration
- CVPR 2026Neural Collapse in Test-Time Adaptation
- CVPR 2026Node-RF Learning Generalized Continuous Space-Time Scene Dynamics with Neural ODE-based
- CVPR 2026Omni-AD A Large-scale and Versatile Benchmark for Industrial Anomaly Detection
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 查时间序列在 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": "time-series"}
常见问题
- 2023–2026 年四大会议一共有多少篇时间序列论文?
- 共 2,157 篇,按年份分别是 2023 年 272 篇、2024 年 424 篇、2025 年 585 篇、2026 年 876 篇。
- NeurIPS 2026 有多少篇时间序列论文?
- NeurIPS 2026 有 298 篇时间序列论文,上一届是 221 篇。
- ICLR 2026 有多少篇时间序列论文?
- ICLR 2026 有 220 篇时间序列论文,上一届是 131 篇。
- ICML 2026 有多少篇时间序列论文?
- ICML 2026 有 264 篇时间序列论文,上一届是 159 篇。
- CVPR 2026 有多少篇时间序列论文?
- CVPR 2026 有 94 篇时间序列论文,上一届是 74 篇。
- 哪个会议的时间序列论文最多?
- NeurIPS,2023–2026 年共 757 篇。