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

2,156 papers, page 38 of 44

1851. NeurIPS 2024SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
1852. NeurIPS 2024Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
1853. NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
1854. NeurIPS 2024TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
1855. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
1856. NeurIPS 2024Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
1857. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
1858. NeurIPS 2024Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
1859. NeurIPS 2024Test-Time Dynamic Image Fusion
1860. NeurIPS 2024Testing Calibration in Nearly-Linear Time
1861. NeurIPS 2024The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
1862. NeurIPS 2024The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
1863. NeurIPS 2024Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
1864. NeurIPS 2024Time-Constrained Robust MDPs
1865. NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
1866. NeurIPS 2024Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
1867. NeurIPS 2024Time-Reversal Provides Unsupervised Feedback to LLMs
1868. NeurIPS 2024TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
1869. NeurIPS 2024Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
1870. NeurIPS 2024TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
1871. NeurIPS 2024Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
1872. NeurIPS 2024Towards Editing Time Series
1873. NeurIPS 2024Towards Understanding Evolving Patterns in Sequential Data
1874. NeurIPS 2024TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
1875. NeurIPS 2024Trajectory Flow Matching with Applications to Clinical Time Series Modelling
1876. NeurIPS 2024Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
1877. NeurIPS 2024TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
1878. NeurIPS 2024UniMTS: Unified Pre-training for Motion Time Series
1879. NeurIPS 2024UniTS: A Unified Multi-Task Time Series Model
1880. NeurIPS 2024Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
1881. NeurIPS 2024Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
1882. NeurIPS 2024When are dynamical systems learned from time series data statistically accurate?
1883. NeurIPS 2024When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
1884. NeurIPS 2024YOLOv10: Real-Time End-to-End Object Detection
1885. CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
1886. CVPR 2023Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption
1887. CVPR 2023Boosting Detection in Crowd Analysis via Underutilized Output Features
1888. CVPR 2023Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
1889. CVPR 2023Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction
1890. CVPR 2023Center Focusing Network for Real-Time LiDAR Panoptic Segmentation
1891. CVPR 2023Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
1892. CVPR 2023Consistent Direct Time-of-Flight Video Depth Super-Resolution
1893. CVPR 2023Continuous Landmark Detection With 3D Queries
1894. CVPR 2023DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
1895. CVPR 2023Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
1896. CVPR 2023Diversity-Measurable Anomaly Detection
1897. CVPR 2023DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets
1898. CVPR 2023DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
1899. CVPR 2023Enhanced Training of Query-Based Object Detection via Selective Query Recollection
1900. CVPR 2023Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

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.