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 159 篇,第 1 / 4 页
- ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
- ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
- ICML 2025A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
- ICML 2025A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
- ICML 2025Active Learning with Selective Time-Step Acquisition for PDEs
- ICML 2025AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
- ICML 2025AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
- ICML 2025An Architecture Search Framework for Inference-Time Techniques
- ICML 2025An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
- ICML 2025Anytime-Constrained Equilibria in Polynomial Time
- ICML 2025Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
- ICML 2025Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
- ICML 2025Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
- ICML 2025BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
- ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
- ICML 2025Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
- ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
- ICML 2025Calibrating Video Watch-time Predictions with Credible Prototype Alignment
- ICML 2025Categorical Schrödinger Bridge Matching
- ICML 2025Causal Discovery from Conditionally Stationary Time Series
- ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
- ICML 2025CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
- ICML 2025Channel Normalization for Time Series Channel Identification
- ICML 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
- ICML 2025Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
- ICML 2025Conformal Anomaly Detection in Event Sequences
- ICML 2025Context is Key: A Benchmark for Forecasting with Essential Textual Information
- ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
- ICML 2025Continuously Updating Digital Twins using Large Language Models
- ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
- ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
- ICML 2025Discovering Latent Causal Graphs from Spatiotemporal Data
- ICML 2025Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
- ICML 2025Discrepancy Minimization in Input-Sparsity Time
- ICML 2025Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
- ICML 2025Efficient Personalized Adaptation for Physiological Signal Foundation Model
- ICML 2025Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
- ICML 2025Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
- ICML 2025Exploring Representations and Interventions in Time Series Foundation Models
- ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
- ICML 2025FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
- ICML 2025Finite-Time Analysis of Discrete-Time Stochastic Interpolants
- ICML 2025Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
- ICML 2025Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
- ICML 2025FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
- ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
- ICML 2025Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
- ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
- ICML 2025GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
- ICML 2025Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
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。