Time Series papers, 2023–2026
Forecasting and anomaly detection
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,157 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 91 | 60 | 62 | 59 | 272 |
| 2024 | 147 | 95 | 114 | 68 | 424 |
| 2025 | 221 | 131 | 159 | 74 | 585 |
| 2026 | 298 | 220 | 264 | 94 | 876 |
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
114 papers, page 3 of 3
- ICML 2024Timer: Generative Pre-trained Transformers Are Large Time Series Models
- ICML 2024TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
- ICML 2024TimeX++: Learning Time-Series Explanations with Information Bottleneck
- ICML 2024Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
- ICML 2024TSLANet: Rethinking Transformers for Time Series Representation Learning
- ICML 2024ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
- ICML 2024Unified Training of Universal Time Series Forecasting Transformers
- ICML 2024UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
- ICML 2024Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
- ICML 2024Variational Schrödinger Diffusion Models
- ICML 2024Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
- ICML 2024Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
- ICML 2024What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
- ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
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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.