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 6 / 12 页

  1. ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
  2. ICML 2025Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
  3. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
  4. ICML 2025GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
  5. ICML 2025Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
  6. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
  7. ICML 2025HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
  8. ICML 2025HyperIV: Real-time Implied Volatility Smoothing
  9. ICML 2025Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
  10. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
  11. ICML 2025In-Context Fine-Tuning for Time-Series Foundation Models
  12. ICML 2025Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
  13. ICML 2025Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
  14. ICML 2025IT$^3$: Idempotent Test-Time Training
  15. ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
  16. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
  17. ICML 2025KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
  18. ICML 2025LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
  19. ICML 2025LAST SToP for Modeling Asynchronous Time Series
  20. ICML 2025Latent Variable Estimation in Bayesian Black-Litterman Models
  21. ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
  22. ICML 2025Learning Changes in Graphon Attachment Network Models
  23. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
  24. ICML 2025Learning Survival Distributions with the Asymmetric Laplace Distribution
  25. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
  26. ICML 2025Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
  27. ICML 2025Learning to (Learn at Test Time): RNNs with Expressive Hidden States
  28. ICML 2025Learning with Exact Invariances in Polynomial Time
  29. ICML 2025LETS Forecast: Learning Embedology for Time Series Forecasting
  30. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
  31. ICML 2025Lightweight Online Adaption for Time Series Foundation Model Forecasts
  32. ICML 2025Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
  33. ICML 2025LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
  34. ICML 2025LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
  35. ICML 2025Masked Generative Nested Transformers with Decode Time Scaling
  36. ICML 2025Measuring In-Context Computation Complexity via Hidden State Prediction
  37. ICML 2025Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
  38. ICML 2025Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
  39. ICML 2025MTSTRec: Multimodal Time-Aligned Shared Token Recommender
  40. ICML 2025Non-stationary Diffusion For Probabilistic Time Series Forecasting
  41. ICML 2025Nonlinear transformers can perform inference-time feature learning
  42. ICML 2025Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
  43. ICML 2025OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
  44. ICML 2025Optimal Information Retention for Time-Series Explanations
  45. ICML 2025Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
  46. ICML 2025Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
  47. ICML 2025Patch-wise Structural Loss for Time Series Forecasting
  48. ICML 2025Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
  49. ICML 2025Polynomial-Time Approximability of Constrained Reinforcement Learning
  50. ICML 2025Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models

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。

「图与结构化数据」下的其他主题