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

294 papers, page 5 of 6

201. CVPR 2024Multi-modal Learning for Geospatial Vegetation Forecasting
202. CVPR 2024Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
203. CVPR 2024NC-TTT: A Noise Constrastive Approach for Test-Time Training
204. CVPR 2024Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
205. CVPR 2024No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
206. CVPR 2024Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras
207. CVPR 2024Plug and Play Active Learning for Object Detection
208. CVPR 2024ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning
209. CVPR 2024RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
210. CVPR 2024Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination
211. CVPR 2024Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling
212. CVPR 2024Real-Time Neural BRDF with Spherically Distributed Primitives
213. CVPR 2024Real-Time Simulated Avatar from Head-Mounted Sensors
214. CVPR 2024RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
215. CVPR 2024Resolution Limit of Single-Photon LiDAR
216. CVPR 2024Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
217. CVPR 2024RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
218. CVPR 2024Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
219. CVPR 2024Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
220. CVPR 2024SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
221. CVPR 2024Supervised Anomaly Detection for Complex Industrial Images
222. CVPR 2024T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
223. CVPR 2024Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models
224. CVPR 2024TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression
225. CVPR 2024TEA: Test-time Energy Adaptation
226. CVPR 2024Test-Time Adaptation for Depth Completion
227. CVPR 2024Test-Time Domain Generalization for Face Anti-Spoofing
228. CVPR 2024Test-Time Linear Out-of-Distribution Detection
229. CVPR 2024The STVchrono Dataset: Towards Continuous Change Recognition in Time
230. CVPR 2024Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
231. CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
232. CVPR 2024UniMODE: Unified Monocular 3D Object Detection
233. CVPR 2024UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
234. CVPR 2024Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
235. CVPR 2024WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
236. CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
237. CVPR 2023Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption
238. CVPR 2023Boosting Detection in Crowd Analysis via Underutilized Output Features
239. CVPR 2023Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
240. CVPR 2023Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction
241. CVPR 2023Center Focusing Network for Real-Time LiDAR Panoptic Segmentation
242. CVPR 2023Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
243. CVPR 2023Consistent Direct Time-of-Flight Video Depth Super-Resolution
244. CVPR 2023Continuous Landmark Detection With 3D Queries
245. CVPR 2023DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
246. CVPR 2023Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
247. CVPR 2023Diversity-Measurable Anomaly Detection
248. CVPR 2023DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets
249. CVPR 2023DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
250. CVPR 2023Enhanced Training of Query-Based Object Detection via Selective Query Recollection

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.