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

599 papers, page 12 of 12

551. ICML 2023Delving into Noisy Label Detection with Clean Data
552. ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
553. ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
554. ICML 2023Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
555. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
556. ICML 2023Domain Adaptation for Time Series Under Feature and Label Shifts
557. ICML 2023Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
558. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
559. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
560. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
561. ICML 2023Feature Programming for Multivariate Time Series Prediction
562. ICML 2023Forget Unlearning: Towards True Data-Deletion in Machine Learning
563. ICML 2023Implicit Neural Spatial Representations for Time-dependent PDEs
564. ICML 2023Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
565. ICML 2023Learning Deep Time-index Models for Time Series Forecasting
566. ICML 2023Learning Perturbations to Explain Time Series Predictions
567. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
568. ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
569. ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
570. ICML 2023Neural Stochastic Differential Games for Time-series Analysis
571. ICML 2023Non-autoregressive Conditional Diffusion Models for Time Series Prediction
572. ICML 2023Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
573. ICML 2023Nonparametric Density Estimation under Distribution Drift
574. ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
575. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
576. ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
577. ICML 2023On Pitfalls of Test-Time Adaptation
578. ICML 2023On the Statistical Benefits of Temporal Difference Learning
579. ICML 2023On the Stepwise Nature of Self-Supervised Learning
580. ICML 2023Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
581. ICML 2023Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
582. ICML 2023Predicting Ordinary Differential Equations with Transformers
583. ICML 2023Probabilistic Imputation for Time-series Classification with Missing Data
584. ICML 2023Prototype-oriented unsupervised anomaly detection for multivariate time series
585. ICML 2023Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
586. ICML 2023Regularization-free Diffeomorphic Temporal Alignment Nets
587. ICML 2023Safe Offline Reinforcement Learning with Real-Time Budget Constraints
588. ICML 2023Self-Interpretable Time Series Prediction with Counterfactual Explanations
589. ICML 2023Sequential Monte Carlo Learning for Time Series Structure Discovery
590. ICML 2023Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
591. ICML 2023Sequential Predictive Conformal Inference for Time Series
592. ICML 2023SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
593. ICML 2023Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
594. ICML 2023Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
595. ICML 2023The Fast Johnson-Lindenstrauss Transform Is Even Faster
596. ICML 2023Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
597. ICML 2023TIDE: Time Derivative Diffusion for Deep Learning on Graphs
598. ICML 2023Topological Singularity Detection at Multiple Scales
599. ICML 2023Uncovering Adversarial Risks of Test-Time Adaptation

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.