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 585 篇，第 12 / 12 页

551. NeurIPS 2025Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
552. NeurIPS 2025Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
553. NeurIPS 2025Time-Embedded Algorithm Unrolling for Computational MRI
554. NeurIPS 2025Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
555. NeurIPS 2025Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
556. NeurIPS 2025Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
557. NeurIPS 2025TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
558. NeurIPS 2025TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
559. NeurIPS 2025TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
560. NeurIPS 2025TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
561. NeurIPS 2025TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
562. NeurIPS 2025Titans: Learning to Memorize at Test Time
563. NeurIPS 2025ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture
564. NeurIPS 2025Toward Interpretable Evaluation Measures for Time Series Segmentation
565. NeurIPS 2025Toward Relative Positional Encoding in Spiking Transformers
566. NeurIPS 2025Towards Accurate Time Series Forecasting via Implicit Decoding
567. NeurIPS 2025TRACE: Contrastive learning for multi-trial time series data in neuroscience
568. NeurIPS 2025TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
569. NeurIPS 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
570. NeurIPS 2025Transformers for Mixed-type Event Sequences
571. NeurIPS 2025Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
572. NeurIPS 2025TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
573. NeurIPS 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
574. NeurIPS 2025TTRL: Test-Time Reinforcement Learning
575. NeurIPS 2025TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
576. NeurIPS 2025UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
577. NeurIPS 2025Unified Transferability Metrics for Time Series Foundation Models
578. NeurIPS 2025Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
579. NeurIPS 2025Universal Sequence Preconditioning
580. NeurIPS 2025Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
581. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
582. NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
583. NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
584. NeurIPS 2025YOLOv12: Attention-Centric Real-Time Object Detectors
585. NeurIPS 2025zip2zip: Inference-Time Adaptive Tokenization via Online Compression

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。