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
221 papers, page 5 of 5
- NeurIPS 2025Toward Relative Positional Encoding in Spiking Transformers
- NeurIPS 2025Towards Accurate Time Series Forecasting via Implicit Decoding
- NeurIPS 2025TRACE: Contrastive learning for multi-trial time series data in neuroscience
- NeurIPS 2025TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
- NeurIPS 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
- NeurIPS 2025Transformers for Mixed-type Event Sequences
- NeurIPS 2025Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
- NeurIPS 2025TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
- NeurIPS 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
- NeurIPS 2025TTRL: Test-Time Reinforcement Learning
- NeurIPS 2025TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
- NeurIPS 2025UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
- NeurIPS 2025Unified Transferability Metrics for Time Series Foundation Models
- NeurIPS 2025Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
- NeurIPS 2025Universal Sequence Preconditioning
- NeurIPS 2025Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
- NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
- NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
- NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
- NeurIPS 2025YOLOv12: Attention-Centric Real-Time Object Detectors
- NeurIPS 2025zip2zip: Inference-Time Adaptive Tokenization via Online Compression
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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.