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 159 篇，第 3 / 4 页

101. ICML 2025Quantifying Memory Utilization with Effective State-Size
102. ICML 2025Ranked Entropy Minimization for Continual Test-Time Adaptation
103. ICML 2025Reinforcement Learning with Random Time Horizons
104. ICML 2025Relational Conformal Prediction for Correlated Time Series
105. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
106. ICML 2025Rethinking Time Encoding via Learnable Transformation Functions
107. ICML 2025Retrieval Augmented Time Series Forecasting
108. ICML 2025Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
109. ICML 2025Risk and cross validation in ridge regression with correlated samples
110. ICML 2025Robust Spatio-Temporal Centralized Interaction for OOD Learning
111. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
112. ICML 2025Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
113. ICML 2025SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
114. ICML 2025SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
115. ICML 2025SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
116. ICML 2025Self-Bootstrapping for Versatile Test-Time Adaptation
117. ICML 2025Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
118. ICML 2025SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
119. ICML 2025Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
120. ICML 2025SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
121. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
122. ICML 2025SpikF: Spiking Fourier Network for Efficient Long-term Prediction
123. ICML 2025Sundial: A Family of Highly Capable Time Series Foundation Models
124. ICML 2025Survival Analysis via Density Estimation
125. ICML 2025Temporal Query Network for Efficient Multivariate Time Series Forecasting
126. ICML 2025Test-Time Adaptation with Binary Feedback
127. ICML 2025Test-time Adapted Reinforcement Learning with Action Entropy Regularization
128. ICML 2025Test-time Correlation Alignment
129. ICML 2025Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
130. ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
131. ICML 2025Test-Time Training Provably Improves Transformers as In-context Learners
132. ICML 2025The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations
133. ICML 2025The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
134. ICML 2025Time Series Representations with Hard-Coded Invariances
135. ICML 2025Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
136. ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
137. ICML 2025TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
138. ICML 2025TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
139. ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
140. ICML 2025TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
141. ICML 2025TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
142. ICML 2025TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
143. ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
144. ICML 2025TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
145. ICML 2025Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
146. ICML 2025Towards a Unified Framework of Clustering-based Anomaly Detection
147. ICML 2025Towards Memorization Estimation: Fast, Formal and Free
148. ICML 2025Training High Performance Spiking Neural Network by Temporal Model Calibration
149. ICML 2025TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
150. ICML 2025TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer

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。