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
- 时间序列论文从 2023 年的 272 篇增长到 2026 年的 876 篇,三年间扩大到约 3.2 倍。
- NeurIPS 是发时间序列论文最多的会议,2023–2026 年共 757 篇,占四个会议总量的 35%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 85 篇。
- 在「图与结构化数据」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的分子建模是 2.7 倍,时间序列是 3.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 91 | 60 | 62 | 59 | 272 |
| 2024 | 147 | 95 | 114 | 68 | 424 |
| 2025 | 221 | 131 | 159 | 74 | 585 |
| 2026 | 298 | 220 | 264 | 94 | 876 |
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
- NeurIPS 2026A Batched Hartigan's $k$-Means Clustering
- ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
- ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
- CVPR 2026Activation Matters Test-time Activated Negative Labels for OOD Detection with
- NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
- ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
- ICLR 2025A deep inverse-mapping model for a flapping robotic wing
- CVPR 2025Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization
- NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
- ICML 2024$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
- ICLR 2024ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
- CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
- NeurIPS 2023A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
- ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
- ICLR 2023A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
- CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
- NeurIPS 2026A Locally Tokenized Generative Model for Robust Time-Series Watermarking
- ICML 2026ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
- ICLR 2026A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
- CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
全部时间序列论文
共 2,156 篇,第 5 / 44 页
- ICLR 2026Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
- ICLR 2026MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters
- ICLR 2026MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss
- ICLR 2026Mode-conditioning unlocks superior test-time compute scaling
- ICLR 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening
- ICLR 2026Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis
- ICLR 2026Noise Tolerance of Distributionally Robust Learning
- ICLR 2026Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
- ICLR 2026ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
- ICLR 2026On learning linear dynamical systems in context with attention layers
- ICLR 2026Online Decision Making with Generative Action Sets
- ICLR 2026Online time series prediction using feature adjustment
- ICLR 2026Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory
- ICLR 2026Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding
- ICLR 2026Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
- ICLR 2026PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
- ICLR 2026Panda: A pretrained forecast model for chaotic dynamics
- ICLR 2026Parameterized Hardness of Zonotope Containment and Neural Network Verification
- ICLR 2026PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.
- ICLR 2026Perturbed Dynamic Time Warping: A Probabilistic Framework and Generalized Variants
- ICLR 2026PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection
- ICLR 2026PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
- ICLR 2026PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
- ICLR 2026PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
- ICLR 2026PIRN: Prototypical-based Intra-modal Reconstruction with Normality Communication for Multi-modal Anomaly Detection.
- ICLR 2026Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
- ICLR 2026PMDformer: Patch-Mean Decoupling Transformer for Long-term Forecasting
- ICLR 2026Prior-free Tabular Test-time Adaptation
- ICLR 2026Priors in time: Missing inductive biases for language model interpretability
- ICLR 2026ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
- ICLR 2026Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification
- ICLR 2026PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks
- ICLR 2026Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
- ICLR 2026R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
- ICLR 2026RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training
- ICLR 2026Random Controlled Differential Equations
- ICLR 2026Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
- ICLR 2026Reasoning on Time-Series for Financial Technical Analysis
- ICLR 2026Reliable Probabilistic Forecasting of Irregular Time Series through Marginalization-Consistent Flows
- ICLR 2026Representation-Based Exploration for Language Models: From Test-Time to Post-Training
- ICLR 2026Repurposing Foundation Model for Generalizable Medical Time Series Classification
- ICLR 2026ResCP: Reservoir Conformal Prediction for Time Series Forecasting
- ICLR 2026ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
- ICLR 2026RF-DETR: Neural Architecture Search for Real-Time Detection Transformers
- ICLR 2026Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity
- ICLR 2026Robust Preference Alignment via Directional Neighborhood Consensus
- ICLR 2026ROC-n-reroll: How verifier imperfection affects test-time scaling
- ICLR 2026Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
- ICLR 2026Sample Complexity and Representation Ability of Test-time Scaling Paradigms
- ICLR 2026SciTS: Scientific Time Series Understanding and Generation with LLMs
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"}
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。