lixus7 / Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
☆777Updated this week
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- An up-to-date list of time-series related papers in AI venues.☆337Updated 3 months ago
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- Resources about time series forecasting and deep learning.☆530Updated this week
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆519Updated this week
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆1,171Updated 5 months ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆620Updated last year
- A comprehensive survey on the time series domains☆500Updated 5 months ago
- Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…☆433Updated 9 months ago
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- A universal time series representation learning framework☆588Updated last month
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆325Updated 9 months ago
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- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆463Updated last month
- The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…☆313Updated 2 weeks ago
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆497Updated 3 months ago
- The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"☆441Updated 8 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆255Updated this week
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆551Updated last month
- The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.☆640Updated 3 years ago
- Multivariate Time Series Transformer, public version☆744Updated last year
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆1,495Updated last month
- A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neur…☆972Updated this week
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.☆878Updated 3 months ago
- About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pd…☆681Updated 5 months ago
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)☆533Updated last year
- Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete ti…☆168Updated 2 months ago
- ☆375Updated 3 years ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆214Updated last year
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆1,893Updated 8 months ago
- A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, re…☆402Updated this week