Time Series papers, 2023–2026

Key findings

• Time Series went from 272 papers in 2023 to 876 in 2026, roughly 3.2x in three years.
• NeurIPS publishes the most Time Series work: 757 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 6 in 2023 to 85 in 2026.
• Among the 5 topics under Graph and Structured Data, it ranks #1 by 2026 paper count; the fastest grower in the group, Molecular Modeling, is up 2.7x versus 3.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Time Series papers

91 papers, page 2 of 2

51. NeurIPS 2023Linear Time Algorithms for k-means with Multi-Swap Local Search
52. NeurIPS 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
53. NeurIPS 2023MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
54. NeurIPS 2023Most Neural Networks Are Almost Learnable
55. NeurIPS 2023Near-Linear Time Algorithm for the Chamfer Distance
56. NeurIPS 2023Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
57. NeurIPS 2023Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
58. NeurIPS 2023Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
59. NeurIPS 2023Non-adversarial training of Neural SDEs with signature kernel scores
60. NeurIPS 2023On the Constrained Time-Series Generation Problem
61. NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
62. NeurIPS 2023One Fits All: Power General Time Series Analysis by Pretrained LM
63. NeurIPS 2023OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
64. NeurIPS 2023PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
65. NeurIPS 2023PCF-GAN: generating sequential data via the characteristic function of measures on the path space
66. NeurIPS 2023Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
67. NeurIPS 2023Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
68. NeurIPS 2023Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
69. NeurIPS 2023RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
70. NeurIPS 2023SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
71. NeurIPS 2023Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
72. NeurIPS 2023SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
73. NeurIPS 2023SODA: Robust Training of Test-Time Data Adaptors
74. NeurIPS 2023Sparse Graph Learning from Spatiotemporal Time Series
75. NeurIPS 2023Survival Permanental Processes for Survival Analysis with Time-Varying Covariates
76. NeurIPS 2023SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
77. NeurIPS 2023Taming Local Effects in Graph-based Spatiotemporal Forecasting
78. NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
79. NeurIPS 2023The noise level in linear regression with dependent data
80. NeurIPS 2023Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
81. NeurIPS 2023Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings
82. NeurIPS 2023Time-Independent Information-Theoretic Generalization Bounds for SGLD
83. NeurIPS 2023Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
84. NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
85. NeurIPS 2023Towards Optimal Effective Resistance Estimation
86. NeurIPS 2023Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
87. NeurIPS 2023Unconstrained Dynamic Regret via Sparse Coding
88. NeurIPS 2023Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
89. NeurIPS 2023Unsupervised Anomaly Detection with Rejection
90. NeurIPS 2023WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction
91. NeurIPS 2023WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting

FAQ

How many Time Series papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,157 in total: 272 in 2023, 424 in 2024, 585 in 2025, 876 in 2026.

How many Time Series papers are at NeurIPS 2026?

NeurIPS 2026 has 298 Time Series papers, versus 221 the year before.

How many Time Series papers are at ICLR 2026?

ICLR 2026 has 220 Time Series papers, versus 131 the year before.

How many Time Series papers are at ICML 2026?

ICML 2026 has 264 Time Series papers, versus 159 the year before.

How many Time Series papers are at CVPR 2026?

CVPR 2026 has 94 Time Series papers, versus 74 the year before.

Which conference publishes the most Time Series papers?

NeurIPS, with 757 papers from 2023 to 2026.