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

每年论文数

各会议论文数

按年份和会议统计

时间序列论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202391606259272
20241479511468424
202522113115974585
202629822026494876

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

全部时间序列论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 585 篇，第 4 / 12 页

  1. ICLR 2025Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
  2. ICLR 2025Neural Context Flows for Meta-Learning of Dynamical Systems
  3. ICLR 2025Neural Functions for Learning Periodic Signal
  4. ICLR 2025Node-Time Conditional Prompt Learning in Dynamic Graphs
  5. ICLR 2025Noisy Test-Time Adaptation in Vision-Language Models
  6. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
  7. ICLR 2025On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
  8. ICLR 2025On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
  9. ICLR 2025Optimal Transport for Time Series Imputation
  10. ICLR 2025Oscillatory State-Space Models
  11. ICLR 2025PAD: Personalized Alignment of LLMs at Decoding-time
  12. ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
  13. ICLR 2025Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
  14. ICLR 2025Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
  15. ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
  16. ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
  17. ICLR 2025Robust System Identification: Finite-sample Guarantees and Connection to Regularization
  18. ICLR 2025Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery
  19. ICLR 2025S4M: S4 for multivariate time series forecasting with Missing values
  20. ICLR 2025Scalable Mechanistic Neural Networks
  21. ICLR 2025Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
  22. ICLR 2025Selective Label Enhancement Learning for Test-Time Adaptation
  23. ICLR 2025Self-supervised contrastive learning performs non-linear system identification
  24. ICLR 2025Shedding Light on Time Series Classification using Interpretability Gated Networks
  25. ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
  26. ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
  27. ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
  28. ICLR 2025Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
  29. ICLR 2025Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
  30. ICLR 2025SMITE: Segment Me In TimE
  31. ICLR 2025Specialized Foundation Models Struggle to Beat Supervised Baselines
  32. ICLR 2025Stabilized Neural Prediction of Potential Outcomes in Continuous Time
  33. ICLR 2025Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
  34. ICLR 2025Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
  35. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
  36. ICLR 2025Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos
  37. ICLR 2025Test-time Adaptation for Regression by Subspace Alignment
  38. ICLR 2025The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
  39. ICLR 2025Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics
  40. ICLR 2025Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
  41. ICLR 2025Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
  42. ICLR 2025TimeInf: Time Series Data Contribution via Influence Functions
  43. ICLR 2025TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
  44. ICLR 2025TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
  45. ICLR 2025Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
  46. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
  47. ICLR 2025Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
  48. ICLR 2025Towards Neural Scaling Laws for Time Series Foundation Models
  49. ICLR 2025TRENDy: Temporal Regression of Effective Nonlinear Dynamics
  50. ICLR 2025TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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