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 757 篇，第 11 / 16 页

  1. NeurIPS 2025TRACE: Contrastive learning for multi-trial time series data in neuroscience
  2. NeurIPS 2025TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
  3. NeurIPS 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
  4. NeurIPS 2025Transformers for Mixed-type Event Sequences
  5. NeurIPS 2025Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
  6. NeurIPS 2025TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
  7. NeurIPS 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
  8. NeurIPS 2025TTRL: Test-Time Reinforcement Learning
  9. NeurIPS 2025TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
  10. NeurIPS 2025UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
  11. NeurIPS 2025Unified Transferability Metrics for Time Series Foundation Models
  12. NeurIPS 2025Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
  13. NeurIPS 2025Universal Sequence Preconditioning
  14. NeurIPS 2025Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
  15. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
  16. NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
  17. NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
  18. NeurIPS 2025YOLOv12: Attention-Centric Real-Time Object Detectors
  19. NeurIPS 2025zip2zip: Inference-Time Adaptive Tokenization via Online Compression
  20. NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
  21. NeurIPS 2024A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
  22. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
  23. NeurIPS 2024Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
  24. NeurIPS 2024Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
  25. NeurIPS 2024Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
  26. NeurIPS 2024Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
  27. NeurIPS 2024Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
  28. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
  29. NeurIPS 2024ANT: Adaptive Noise Schedule for Time Series Diffusion Models
  30. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
  31. NeurIPS 2024Are Self-Attentions Effective for Time Series Forecasting?
  32. NeurIPS 2024Asynchronous Perception Machine for Efficient Test Time Training
  33. NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
  34. NeurIPS 2024AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
  35. NeurIPS 2024AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
  36. NeurIPS 2024BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
  37. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
  38. NeurIPS 2024Causal Contrastive Learning for Counterfactual Regression Over Time
  39. NeurIPS 2024Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
  40. NeurIPS 2024ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions
  41. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
  42. NeurIPS 2024CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
  43. NeurIPS 2024Conformalized Time Series with Semantic Features
  44. NeurIPS 2024CosAE: Learnable Fourier Series for Image Restoration
  45. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
  46. NeurIPS 2024Cross-model Control: Improving Multiple Large Language Models in One-time Training
  47. NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
  48. NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
  49. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
  50. NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

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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