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
59 papers, page 1 of 2
- CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
- CVPR 2023Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption
- CVPR 2023Boosting Detection in Crowd Analysis via Underutilized Output Features
- CVPR 2023Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
- CVPR 2023Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction
- CVPR 2023Center Focusing Network for Real-Time LiDAR Panoptic Segmentation
- CVPR 2023Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
- CVPR 2023Consistent Direct Time-of-Flight Video Depth Super-Resolution
- CVPR 2023Continuous Landmark Detection With 3D Queries
- CVPR 2023DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
- CVPR 2023Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
- CVPR 2023Diversity-Measurable Anomaly Detection
- CVPR 2023DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets
- CVPR 2023DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
- CVPR 2023Enhanced Training of Query-Based Object Detection via Selective Query Recollection
- CVPR 2023Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
- CVPR 2023FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
- CVPR 2023Feature Alignment and Uniformity for Test Time Adaptation
- CVPR 2023GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
- CVPR 2023H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction
- CVPR 2023Implicit Identity Driven Deepfake Face Swapping Detection
- CVPR 2023Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates
- CVPR 2023Improved Test-Time Adaptation for Domain Generalization
- CVPR 2023Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time
- CVPR 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
- CVPR 2023Latency Matters: Real-Time Action Forecasting Transformer
- CVPR 2023Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
- CVPR 2023Learning Transformations To Reduce the Geometric Shift in Object Detection
- CVPR 2023Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
- CVPR 2023MobileOne: An Improved One Millisecond Mobile Backbone
- CVPR 2023Multimodal Industrial Anomaly Detection via Hybrid Fusion
- CVPR 2023OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization
- CVPR 2023Passive Micron-Scale Time-of-Flight With Sunlight Interferometry
- CVPR 2023Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
- CVPR 2023PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers
- CVPR 2023Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking
- CVPR 2023Prototypical Residual Networks for Anomaly Detection and Localization
- CVPR 2023Real-Time 6K Image Rescaling With Rate-Distortion Optimization
- CVPR 2023Real-Time Evaluation in Online Continual Learning: A New Hope
- CVPR 2023Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video
- CVPR 2023Real-Time Neural Light Field on Mobile Devices
- CVPR 2023Reconstructing Animatable Categories From Videos
- CVPR 2023Relational Space-Time Query in Long-Form Videos
- CVPR 2023Revisiting Reverse Distillation for Anomaly Detection
- CVPR 2023Robust Dynamic Radiance Fields
- CVPR 2023Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
- CVPR 2023Robust Test-Time Adaptation in Dynamic Scenarios
- CVPR 2023SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks
- CVPR 2023Simulated Annealing in Early Layers Leads to Better Generalization
- CVPR 2023SQUID: Deep Feature In-Painting for Unsupervised Anomaly 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.