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 2 / 44 页
- CVPR 2026One-Shot Flow Any-Time Frame A Bidirectional Warping Framework for Event-Based
- CVPR 2026PDD Manifold-Prior Diverse Distillation for Medical Anomaly Detection
- CVPR 2026PortraitDirector A Hierarchical Disentanglement Framework for Controllable and Real-time Facial
- CVPR 2026Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
- CVPR 2026RC-NF Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic
- CVPR 2026Real-Time Dynamic Scene Rendering with Controlled Compressibility and Contact Awareness
- CVPR 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization
- CVPR 2026Real-Time Multimodal Fingertip Contact Detection via Depth and Motion Fusion
- CVPR 2026Real-Time Neural Video Compression with Unified Intra and Inter Coding
- CVPR 2026RetimeGS Continuous-Time Reconstruction of 4D Gaussian Splatting
- CVPR 2026Revisiting 3D Reconstruction Kernels as Low-Pass Filters
- CVPR 2026SAMosaic3D Modular Scene Assembly for Real-Time 3D Segment Anything
- CVPR 2026Scal3R Scalable Test-Time Training for Large-Scale 3D Reconstruction
- CVPR 2026SoC Semantic Orthogonal Calibration for Test-Time Prompt Tuning
- CVPR 2026Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping
- CVPR 2026SpaceTimePilot Generative Rendering of Dynamic Scenes Across Space and Time
- CVPR 2026SPEGC Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical
- CVPR 2026STAR Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language
- CVPR 2026StreamRAG Enhancing Real-Time Video Understanding with Retrieval Augmentation
- CVPR 2026Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos
- CVPR 2026TALON Test-time Adaptive Learning for On-the-Fly Category Discovery
- CVPR 2026Test-Time 3D Occupancy Prediction
- CVPR 2026Test-Time Attention Purification for Backdoored Large Vision Language Models
- CVPR 2026Test-Time Instance-Specific Parameter Composition A New Paradigm for Adaptive Generative
- CVPR 2026Test-Time Perturbation Tuning with Delayed Feedback for Vision-Language-Action Models
- CVPR 2026Test-Time Training for LiDAR Semantic Segmentation under Corruption via Geometric
- CVPR 2026The Golden Subspace Where Efficiency Meets Generalization in Continual Test-Time
- CVPR 2026TIGER A Unified Framework for Time Images and Geo-location Retrieval
- CVPR 2026Time Without Time Pseudo-Temporal Representation for Space-Time Super-Resolution
- CVPR 2026Towards an Incremental Unified Multimodal Anomaly Detection Augmenting Multimodal Denoising
- CVPR 2026Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with
- CVPR 2026Tracking by Predicting 3-D Gaussians Over Time
- CVPR 2026TTL Test-time Textual Learning for OOD Detection with Pretrained Vision-Language
- CVPR 2026TTP Test-Time Padding for Adversarial Detection and Robust Adaptation on
- CVPR 2026tttLRM Test-Time Training for Long Context and Autoregressive 3D Reconstruction
- CVPR 2026UniMMAD Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature
- CVPR 2026VGG-T3 Offline Feed-Forward 3D Reconstruction at Scale
- CVPR 2026ViT3 Unlocking Test-Time Training in Vision
- CVPR 2026Wavelet-Driven 3D Anomaly Detection under Pose-Agnostic and Sparse-View
- CVPR 2026Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention
- CVPR 2026YOLO-Master MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
- CVPR 2026YOLO-ULM Ultra-Lightweight Models for Real-Time Object Detection
- CVPR 2026ZipMap Linear-Time Stateful 3D Reconstruction via Test-Time Training
- ICLR 2026$\ell_1$ Latent Distance based Continuous-time Graph Representation
- ICLR 2026A foundation model with multi-variate parallel attention to generate neuronal activity
- ICLR 2026A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting
- ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
- ICLR 2026A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
- ICLR 2026A Study of Posterior Stability in Time-Series Latent Diffusion
- ICLR 2026A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
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。