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 131 篇，第 3 / 3 页

101. ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
102. ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
103. ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
104. ICLR 2025Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
105. ICLR 2025Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
106. ICLR 2025SMITE: Segment Me In TimE
107. ICLR 2025Specialized Foundation Models Struggle to Beat Supervised Baselines
108. ICLR 2025Stabilized Neural Prediction of Potential Outcomes in Continuous Time
109. ICLR 2025Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
110. ICLR 2025Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
111. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
112. ICLR 2025Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos
113. ICLR 2025Test-time Adaptation for Regression by Subspace Alignment
114. ICLR 2025The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
115. ICLR 2025Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics
116. ICLR 2025Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
117. ICLR 2025Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
118. ICLR 2025TimeInf: Time Series Data Contribution via Influence Functions
119. ICLR 2025TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
120. ICLR 2025TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
121. ICLR 2025Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
122. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
123. ICLR 2025Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
124. ICLR 2025Towards Neural Scaling Laws for Time Series Foundation Models
125. ICLR 2025TRENDy: Temporal Regression of Effective Nonlinear Dynamics
126. ICLR 2025TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
127. ICLR 2025TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
128. ICLR 2025TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
129. ICLR 2025TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
130. ICLR 2025Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
131. ICLR 2025Zero-shot Model-based Reinforcement Learning using Large Language Models

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。