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 599 篇，第 5 / 12 页

  1. ICML 2026Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment
  2. ICML 2026Robustifying Vision-Language Models via Test-Time Prompt Adaptation
  3. ICML 2026RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
  4. ICML 2026SafeCompass: Dynamic Chain-of-Thought Steering via Inference-Time Safety Signals
  5. ICML 2026Sampling from Your Language Model One Byte at a Time
  6. ICML 2026See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling
  7. ICML 2026Seeking Commonality, Preserving Specificity: A Spectral-Aware Hierarchical Framework for Cross-City Road Representation Learning
  8. ICML 2026SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
  9. ICML 2026Self-Supervised Dynamical System Representations for Physiological Time-Series
  10. ICML 2026Shapley Regularized Neural Granger Causality
  11. ICML 2026Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
  12. ICML 2026Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
  13. ICML 2026Sparse Regression with $\ell_0$ Constraints for $\alpha$-Mixing Time Series: Algorithms and Guarantees
  14. ICML 2026SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
  15. ICML 2026StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
  16. ICML 2026StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
  17. ICML 2026SubspacePath Pruner: Inference-time Pruning via Probe-based Representation–Parameter Coupling
  18. ICML 2026SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
  19. ICML 2026Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context
  20. ICML 2026TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling
  21. ICML 2026TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
  22. ICML 2026Terminal Dimension Reduction for Time Series with Applications
  23. ICML 2026Test-Time Graph Search for Goal-Conditioned Reinforcement Learning
  24. ICML 2026Test-Time Guidance for Flow-Based Generative Models via Parallel Tempering on Source Distributions
  25. ICML 2026Test-Time Learning of Causal Structure from Interventional Data
  26. ICML 2026Test-time Offline Reinforcement Learning on Goal-related Experience
  27. ICML 2026Test-Time Training with KV Binding Is Secretly Linear Attention
  28. ICML 2026TF-FACE: Time-Frequency Fusion Learning via Frequency-Domain Adaptive and Controllable Enhancement for Trajectory Prediction
  29. ICML 2026TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems
  30. ICML 2026Theoretical Investigation on Inductive Bias of Isolation Forest
  31. ICML 2026ThetaEvolve: Test-time Learning on Open Problems
  32. ICML 2026Time Series Forecasting Through the Lens of Dynamics
  33. ICML 2026Time series saliency maps: Explaining models across multiple domains
  34. ICML 2026Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
  35. ICML 2026Time-Consistent Robust Multi-Objective Reinforcement Learning via a Bellman–Isaacs Weight-Adversary Recursion
  36. ICML 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
  37. ICML 2026Time-Series Decomposition as a Standalone Task: A Mechanism-Driven Diagnostic Benchmark
  38. ICML 2026TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
  39. ICML 2026TimeLAVA: Learning-Agnostic Valuation for Time Series Data
  40. ICML 2026TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations
  41. ICML 2026TimeOmni-VL: Unified Models for Time Series Understanding and Generation
  42. ICML 2026TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models
  43. ICML 2026TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables
  44. ICML 2026TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts
  45. ICML 2026TopoDistill: Distilling Global System Topology for Causal Discovery in Multivariate Time Series
  46. ICML 2026Towards a Unified Generative Model for Scarce Time Series with Domain Experts
  47. ICML 2026Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
  48. ICML 2026Towards One-for-All Anomaly Detection for Tabular Data
  49. ICML 2026Tri-Scale Neural ODEs for Continuous Multi-Omics Disease Modeling
  50. ICML 2026TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on 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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