时间序列论文趋势 2023–2026

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。

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 91 篇，第 2 / 2 页

51. NeurIPS 2023Linear Time Algorithms for k-means with Multi-Swap Local Search
52. NeurIPS 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
53. NeurIPS 2023MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
54. NeurIPS 2023Most Neural Networks Are Almost Learnable
55. NeurIPS 2023Near-Linear Time Algorithm for the Chamfer Distance
56. NeurIPS 2023Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
57. NeurIPS 2023Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
58. NeurIPS 2023Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
59. NeurIPS 2023Non-adversarial training of Neural SDEs with signature kernel scores
60. NeurIPS 2023On the Constrained Time-Series Generation Problem
61. NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
62. NeurIPS 2023One Fits All: Power General Time Series Analysis by Pretrained LM
63. NeurIPS 2023OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
64. NeurIPS 2023PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
65. NeurIPS 2023PCF-GAN: generating sequential data via the characteristic function of measures on the path space
66. NeurIPS 2023Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
67. NeurIPS 2023Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
68. NeurIPS 2023Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
69. NeurIPS 2023RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
70. NeurIPS 2023SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
71. NeurIPS 2023Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
72. NeurIPS 2023SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
73. NeurIPS 2023SODA: Robust Training of Test-Time Data Adaptors
74. NeurIPS 2023Sparse Graph Learning from Spatiotemporal Time Series
75. NeurIPS 2023Survival Permanental Processes for Survival Analysis with Time-Varying Covariates
76. NeurIPS 2023SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
77. NeurIPS 2023Taming Local Effects in Graph-based Spatiotemporal Forecasting
78. NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
79. NeurIPS 2023The noise level in linear regression with dependent data
80. NeurIPS 2023Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
81. NeurIPS 2023Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings
82. NeurIPS 2023Time-Independent Information-Theoretic Generalization Bounds for SGLD
83. NeurIPS 2023Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
84. NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
85. NeurIPS 2023Towards Optimal Effective Resistance Estimation
86. NeurIPS 2023Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
87. NeurIPS 2023Unconstrained Dynamic Regret via Sparse Coding
88. NeurIPS 2023Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
89. NeurIPS 2023Unsupervised Anomaly Detection with Rejection
90. NeurIPS 2023WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction
91. NeurIPS 2023WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting

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。