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

147 papers, page 1 of 3

1. NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
2. NeurIPS 2024A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
3. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
4. NeurIPS 2024Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
5. NeurIPS 2024Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
6. NeurIPS 2024Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
7. NeurIPS 2024Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
8. NeurIPS 2024Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
9. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
10. NeurIPS 2024ANT: Adaptive Noise Schedule for Time Series Diffusion Models
11. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
12. NeurIPS 2024Are Self-Attentions Effective for Time Series Forecasting?
13. NeurIPS 2024Asynchronous Perception Machine for Efficient Test Time Training
14. NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
15. NeurIPS 2024AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
16. NeurIPS 2024AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
17. NeurIPS 2024BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
18. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
19. NeurIPS 2024Causal Contrastive Learning for Counterfactual Regression Over Time
20. NeurIPS 2024Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
21. NeurIPS 2024ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions
22. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
23. NeurIPS 2024CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
24. NeurIPS 2024Conformalized Time Series with Semantic Features
25. NeurIPS 2024CosAE: Learnable Fourier Series for Image Restoration
26. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
27. NeurIPS 2024Cross-model Control: Improving Multiple Large Language Models in One-time Training
28. NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
29. NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
30. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
31. NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
32. NeurIPS 2024Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
33. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
34. NeurIPS 2024ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
35. NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
36. NeurIPS 2024Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
37. NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
38. NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
39. NeurIPS 2024Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
40. NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
41. NeurIPS 2024FilterNet: Harnessing Frequency Filters for Time Series Forecasting
42. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
43. NeurIPS 2024fMRI predictors based on language models of increasing complexity recover brain left lateralization
44. NeurIPS 2024Foundation Inference Models for Markov Jump Processes
45. NeurIPS 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
46. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
47. NeurIPS 2024Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
48. NeurIPS 2024From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
49. NeurIPS 2024From Similarity to Superiority: Channel Clustering for Time Series Forecasting
50. NeurIPS 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event 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.