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

2,156 papers, page 40 of 44

1951. ICLR 2023Characterizing the spectrum of the NTK via a power series expansion
1952. ICLR 2023ChiroDiff: Modelling chirographic data with Diffusion Models
1953. ICLR 2023Compositionality with Variation Reliably Emerges in Neural Networks
1954. ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
1955. ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
1956. ICLR 2023CoRTX: Contrastive Framework for Real-time Explanation
1957. ICLR 2023Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
1958. ICLR 2023CUTS: Neural Causal Discovery from Irregular Time-Series Data
1959. ICLR 2023Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
1960. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
1961. ICLR 2023Denoising Diffusion Error Correction Codes
1962. ICLR 2023Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
1963. ICLR 2023Effectively Modeling Time Series with Simple Discrete State Spaces
1964. ICLR 2023Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
1965. ICLR 2023Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time
1966. ICLR 2023Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
1967. ICLR 2023Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
1968. ICLR 2023Learning Fast and Slow for Online Time Series Forecasting
1969. ICLR 2023Liquid Structural State-Space Models
1970. ICLR 2023M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
1971. ICLR 2023MECTA: Memory-Economic Continual Test-Time Model Adaptation
1972. ICLR 2023Memorization Capacity of Neural Networks with Conditional Computation
1973. ICLR 2023Meta Temporal Point Processes
1974. ICLR 2023MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
1975. ICLR 2023Multivariate Time-series Imputation with Disentangled Temporal Representations
1976. ICLR 2023Out-of-distribution Detection with Implicit Outlier Transformation
1977. ICLR 2023Out-of-distribution Representation Learning for Time Series Classification
1978. ICLR 2023Phase transition for detecting a small community in a large network
1979. ICLR 2023Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
1980. ICLR 2023Recursive Time Series Data Augmentation
1981. ICLR 2023Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
1982. ICLR 2023Replicable Bandits
1983. ICLR 2023Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
1984. ICLR 2023Riemannian Metric Learning via Optimal Transport
1985. ICLR 2023Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
1986. ICLR 2023Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
1987. ICLR 2023Score-based Continuous-time Discrete Diffusion Models
1988. ICLR 2023Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
1989. ICLR 2023Spatial Attention Kinetic Networks with E(n)-Equivariance
1990. ICLR 2023SpeedyZero: Mastering Atari with Limited Data and Time
1991. ICLR 2023Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
1992. ICLR 2023TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
1993. ICLR 2023Temporal Dependencies in Feature Importance for Time Series Prediction
1994. ICLR 2023Test-Time Robust Personalization for Federated Learning
1995. ICLR 2023TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
1996. ICLR 2023Time to augment self-supervised visual representation learning
1997. ICLR 2023Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
1998. ICLR 2023TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
1999. ICLR 2023Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
2000. ICLR 2023Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation

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.