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

585 papers, page 2 of 12

51. CVPR 2025Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Textures
52. CVPR 2025Real-time High-fidelity Gaussian Human Avatars with Position-based Interpolation of Spatially Distributed MLPs
53. CVPR 2025SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
54. CVPR 2025ScaleLSD: Scalable Deep Line Segment Detection Streamlined
55. CVPR 2025Scaling Inference Time Compute for Diffusion Models
56. CVPR 2025SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding
57. CVPR 2025SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos
58. CVPR 2025Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
59. CVPR 2025SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes
60. CVPR 2025SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
61. CVPR 2025SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion
62. CVPR 2025TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting
63. CVPR 2025Test-time Augmentation Improves Efficiency in Conformal Prediction
64. CVPR 2025Test-Time Backdoor Detection for Object Detection Models
65. CVPR 2025Test-Time Visual In-Context Tuning
66. CVPR 2025TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
67. CVPR 2025Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields
68. CVPR 2025Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
69. CVPR 2025Towards Practical Real-Time Neural Video Compression
70. CVPR 2025Towards RAW Object Detection in Diverse Conditions
71. CVPR 2025Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline
72. CVPR 2025UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection
73. CVPR 2025Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
74. CVPR 2025Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes
75. ICLR 2025A deep inverse-mapping model for a flapping robotic wing
76. ICLR 2025A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
77. ICLR 2025Adaptive Retention & Correction: Test-Time Training for Continual Learning
78. ICLR 2025Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
79. ICLR 2025Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
80. ICLR 2025Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
81. ICLR 2025AnoLLM: Large Language Models for Tabular Anomaly Detection
82. ICLR 2025AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
83. ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
84. ICLR 2025Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
85. ICLR 2025Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
86. ICLR 2025Can LLMs Understand Time Series Anomalies?
87. ICLR 2025CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
88. ICLR 2025CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
89. ICLR 2025Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games
90. ICLR 2025COME: Test-time Adaption by Conservatively Minimizing Entropy
91. ICLR 2025Compositional simulation-based inference for time series
92. ICLR 2025Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
93. ICLR 2025CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
94. ICLR 2025Context Steering: Controllable Personalization at Inference Time
95. ICLR 2025Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series
96. ICLR 2025Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt
97. ICLR 2025Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
98. ICLR 2025Controlling Space and Time with Diffusion Models
99. ICLR 2025Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
100. ICLR 2025Differentially Private Federated Learning with Time-Adaptive Privacy Spending

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.