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
294 papers, page 6 of 6
- 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
- CVPR 2023TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
- CVPR 2023Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection
- CVPR 2023TIPI: Test Time Adaptation With Transformation Invariance
- CVPR 2023Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
- CVPR 2023UV Volumes for Real-Time Rendering of Editable Free-View Human Performance
- CVPR 2023ViTs for SITS: Vision Transformers for Satellite Image Time Series
- CVPR 2023VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
- CVPR 2023YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
- CVPR 2023You Only Segment Once: Towards Real-Time Panoptic Segmentation
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Time Series papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "time-series"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.