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 2,156 篇，第 30 / 44 页
- NeurIPS 2025UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
- NeurIPS 2025Unified Transferability Metrics for Time Series Foundation Models
- NeurIPS 2025Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
- NeurIPS 2025Universal Sequence Preconditioning
- NeurIPS 2025Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
- NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
- NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
- NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
- NeurIPS 2025YOLOv12: Attention-Centric Real-Time Object Detectors
- NeurIPS 2025zip2zip: Inference-Time Adaptive Tokenization via Online Compression
- CVPR 20244D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- CVPR 20244K4D: Real-Time 4D View Synthesis at 4K Resolution
- CVPR 2024Accelerating Diffusion Sampling with Optimized Time Steps
- CVPR 2024Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
- CVPR 2024AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
- CVPR 2024Backdoor Defense via Test-Time Detecting and Repairing
- CVPR 2024Backpropagation-free Network for 3D Test-time Adaptation
- CVPR 2024Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
- CVPR 2024DETRs Beat YOLOs on Real-time Object Detection
- CVPR 2024DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
- CVPR 2024Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
- CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
- CVPR 2024Error Detection in Egocentric Procedural Task Videos
- CVPR 2024EventPS: Real-Time Photometric Stereo Using an Event Camera
- CVPR 2024Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
- CVPR 2024GDA: Generalized Diffusion for Robust Test-time Adaptation
- CVPR 2024GLACE: Global Local Accelerated Coordinate Encoding
- CVPR 2024HDRFlow: Real-Time HDR Video Reconstruction with Large Motions
- CVPR 2024HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations
- CVPR 2024Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras
- CVPR 2024Human Gaussian Splatting: Real-time Rendering of Animatable Avatars
- CVPR 2024Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
- CVPR 2024Hyperbolic Anomaly Detection
- CVPR 2024Improved Self-Training for Test-Time Adaptation
- CVPR 2024LaneCPP: Continuous 3D Lane Detection using Physical Priors
- CVPR 2024LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
- CVPR 2024Long-Tailed Anomaly Detection with Learnable Class Names
- CVPR 2024Looking 3D: Anomaly Detection with 2D-3D Alignment
- CVPR 2024MedBN: Robust Test-Time Adaptation against Malicious Test Samples
- CVPR 2024Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
- CVPR 2024Model Adaptation for Time Constrained Embodied Control
- CVPR 2024MonoCD: Monocular 3D Object Detection with Complementary Depths
- CVPR 2024MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
- CVPR 2024Multi-modal Learning for Geospatial Vegetation Forecasting
- CVPR 2024Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
- CVPR 2024NC-TTT: A Noise Constrastive Approach for Test-Time Training
- CVPR 2024Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
- CVPR 2024No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
- CVPR 2024Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras
- CVPR 2024Plug and Play Active Learning for Object 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。