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 424 篇，第 7 / 9 页

  1. NeurIPS 2024Conformalized Time Series with Semantic Features
  2. NeurIPS 2024CosAE: Learnable Fourier Series for Image Restoration
  3. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
  4. NeurIPS 2024Cross-model Control: Improving Multiple Large Language Models in One-time Training
  5. NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
  6. NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
  7. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
  8. NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
  9. NeurIPS 2024Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
  10. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
  11. NeurIPS 2024ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
  12. NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
  13. NeurIPS 2024Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
  14. NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
  15. NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
  16. NeurIPS 2024Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
  17. NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
  18. NeurIPS 2024FilterNet: Harnessing Frequency Filters for Time Series Forecasting
  19. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
  20. NeurIPS 2024fMRI predictors based on language models of increasing complexity recover brain left lateralization
  21. NeurIPS 2024Foundation Inference Models for Markov Jump Processes
  22. NeurIPS 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
  23. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
  24. NeurIPS 2024Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
  25. NeurIPS 2024From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
  26. NeurIPS 2024From Similarity to Superiority: Channel Clustering for Time Series Forecasting
  27. NeurIPS 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
  28. NeurIPS 2024Gated Inference Network: Inference and Learning State-Space Models
  29. NeurIPS 2024Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
  30. NeurIPS 2024High Rank Path Development: an approach to learning the filtration of stochastic processes
  31. NeurIPS 2024HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
  32. NeurIPS 2024Identifiability Analysis of Linear ODE Systems with Hidden Confounders
  33. NeurIPS 2024Identifying Spatio-Temporal Drivers of Extreme Events
  34. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
  35. NeurIPS 2024Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
  36. NeurIPS 2024Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
  37. NeurIPS 2024Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
  38. NeurIPS 2024Invariant subspaces and PCA in nearly matrix multiplication time
  39. NeurIPS 2024Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
  40. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
  41. NeurIPS 2024Large Pre-trained time series models for cross-domain Time series analysis tasks
  42. NeurIPS 2024Learning diverse causally emergent representations from time series data
  43. NeurIPS 2024Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
  44. NeurIPS 2024Linear Time Approximation Algorithm for Column Subset Selection with Local Search
  45. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
  46. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
  47. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
  48. NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
  49. NeurIPS 2024Model Based Inference of Synaptic Plasticity Rules
  50. NeurIPS 2024Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems

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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