Update NIPS 2023

lixus7 · Jun 7, 2024 · 2a7e901 · 2a7e901
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@@ -99,7 +99,16 @@ To reduce repetition, some data are in abbreviated form. Some terms may not repr
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 | Paper Nums:100+ | <img width=150/> | <img width=220/>  |   |   |   <img width=300/> |
 | Multivariable |  Electricity  <br> PEMSD7M <br> BikeNYC <br> [TimesNet_data](https://github.com/thuml/Time-Series-Library)   |    SCNN | [Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting](https://ieeexplore.ieee.org/document/10457027) | [Pytorch](https://github.com/JLDeng/SCNN)  <br>![Stars](https://img.shields.io/github/stars/JLDeng/SCNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/JLDeng/SCNN?color=critical&style=social)  | TKDE 2024
+| Multivariable |  Solar <br> Wiki <br>  Traffic <br> ECG <br> Electricity  <br>  COVID-19   <br> Weather  <br>  ETT |    FreTS | [Frequency-domain MLPs are More Effective Learners in Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/f1d16af76939f476b5f040fd1398c0a3-Abstract-Conference.html) | [Pytorch](https://github.com/aikunyi/FreTS)  <br>![Stars](https://img.shields.io/github/stars/aikunyi/FreTS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/aikunyi/FreTS?color=critical&style=social)  | NIPS 2023
+| LLM4TS |  Darts  <br> Monash  <br>  Informer   |    - | [Large Language Models Are Zero-Shot Time Series Forecasters](https://proceedings.neurips.cc/paper_files/paper/2023/hash/3eb7ca52e8207697361b2c0fb3926511-Abstract-Conference.html) | [LLM](https://github.com/ngruver/llmtime)  <br>![Stars](https://img.shields.io/github/stars/ngruver/llmtime?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ngruver/llmtime?color=critical&style=social)  | NIPS 2023
+| Multivariable |  ECL   <br>  Traffic  <br>ETT <br>   Weather    |    WITRAN | [WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/2938ad0434a6506b125d8adaff084a4a-Abstract-Conference.html) | [Pytorch](https://github.com/Water2sea/WITRAN)  <br>![Stars](https://img.shields.io/github/stars/Water2sea/WITRAN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Water2sea/WITRAN?color=critical&style=social)  | NIPS 2023
 | Multivariable |  ETT  <br> Weather  <br>  Electricity   |    OneNet | [OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dd6a47bc0aad6f34aa5e77706d90cdc4-Abstract-Conference.html) | [Pytorch](https://github.com/yfzhang114/OneNet)  <br>![Stars](https://img.shields.io/github/stars/yfzhang114/OneNet?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/yfzhang114/OneNet?color=critical&style=social)  | NIPS 2023
+| Multivariable |  ECL  <br>ETT <br> Exchange <br>  ILI <br>  Traffic  <br>  Weather    |    Koopa | [Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dd6a47bc0aad6f34aa5e77706d90cdc4-Abstract-Conference.html) | [Pytorch](https://github.com/thuml/Koopa)  <br>![Stars](https://img.shields.io/github/stars/thuml/Koopa?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuml/Koopa?color=critical&style=social)  | NIPS 2023
+| Multivariable |  Solar  <br> Wiki <br> Traffic <br> COVID-19     |    FourierGNN | [FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dc1e32dd3eb381dbc71482f6a96cbf86-Abstract-Conference.html) | [Pytorch](https://github.com/aikunyi/FourierGNN)  <br>![Stars](https://img.shields.io/github/stars/aikunyi/FourierGNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/aikunyi/FourierGNN?color=critical&style=social)  | NIPS 2023
+| Multivariable | ETT  <br>   Weather  <br> Electricity  <br> Traffic    |    SimMTM | [SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling](https://proceedings.neurips.cc/paper_files/paper/2023/hash/5f9bfdfe3685e4ccdbc0e7fb29cccf2a-Abstract-Conference.html) | [Pytorch](https://github.com/thuml/SimMTM)  <br>![Stars](https://img.shields.io/github/stars/thuml/SimMTM?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuml/SimMTM?color=critical&style=social)  | NIPS 2023
+| Multivariable | ETT <br> Electricity  <br>  Exchange  <br>  Traffic  <br>  Weather   <br>  ILI   |    BasisFormer | [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis](https://proceedings.neurips.cc/paper_files/paper/2023/hash/e150e6d0a1e5214740c39c6e4503ba7a-Abstract-Conference.html) | [Pytorch](https://github.com/nzl5116190/Basisformer)  <br>![Stars](https://img.shields.io/github/stars/nzl5116190/Basisformer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/nzl5116190/Basisformer?color=critical&style=social)  | NIPS 2023
+| Irregular |  Neonate  <br> Traffic  <br>  MIMIC <br>  StackOverflow <br> BookOrder <br> Exchange <br> ETT <br> ILI<br>  Weather|    ContiFormer | [ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling](https://proceedings.neurips.cc/paper_files/paper/2023/hash/9328208f88ec69420031647e6ff97727-Abstract-Conference.html) | [Pytorch](https://github.com/microsoft/SeqML/tree/main/ContiFormer)   | NIPS 2023
+| Multivariable |  Electricity <br> Exchange <br> Traffic <br>  Weather  <br>  ILI  <br> ETT  |    SAN | [Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective](https://proceedings.neurips.cc/paper_files/paper/2023/hash/2e19dab94882bc95ed094c4399cfda02-Abstract-Conference.html) | [Pytorch](https://github.com/icantnamemyself/SAN)  <br>![Stars](https://img.shields.io/github/stars/icantnamemyself/SAN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/icantnamemyself/SAN?color=critical&style=social)  | NIPS 2023
 | Multivariable |  ETT  <br> Electricity <br> Exchange <br> Traffic  <br>  Weather  <br>  ILI   |    DeepTime (Framework, <br> Fourier Features, <br> Meta-optimization)| [ Learning Deep Time-index Models for Time Series Forecasting](https://openreview.net/forum?id=pgcfCCNQXO) | [Pytorch](https://github.com/salesforce/DeepTime)  <br>![Stars](https://img.shields.io/github/stars/salesforce/DeepTime?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/salesforce/DeepTime?color=critical&style=social)  | ICML 2023
 | Multivariable |  Synthetic <br> Taxi  <br> Electricity <br> Traffic    |    FeatureP (Feature Enhancement) | [Feature Programming for Multivariate Time Series Prediction](https://openreview.net/forum?id=LVARH5wXM9) | [Pytorch](https://github.com/SirAlex900/FeatureProgramming)  <br>![Stars](https://img.shields.io/github/stars/SirAlex900/FeatureProgramming?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/SirAlex900/FeatureProgramming?color=critical&style=social)  | ICML 2023
 | Multivariable |  NorPool  <br> Caiso  <br> Weather  <br>  ETT   <br> Wind <br> Traffic  <br> Electricity  <br> Exchange |    TimeDiff    | [Non-autoregressive Conditional Diffusion Models for Time Series Prediction](https://openreview.net/forum?id=wZsnZkviro) | None| ICML 2023
@@ -361,6 +370,7 @@ To reduce repetition, some data are in abbreviated form. Some terms may not repr
 |  Task  |    Data |   Model  | Paper   |    Code    |   Publication    |
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 | Paper Nums:40+ | <img width=150/> | <img width=220/>  |   |   |   <img width=300/> |
+| probability  | Solar <br> Electricity <br>  Traffic <br> Exchange <br>  M4-Hourly  <br> UberTLC <br> KDDCup <br>  Wikipedia  |         TSDiff         | [Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting](https://proceedings.neurips.cc/paper_files/paper/2023/hash/5a1a10c2c2c9b9af1514687bc24b8f3d-Abstract-Conference.html) | [GluonTS](https://github.com/amazon-science/unconditional-time-series-diffusion) <br>![Stars](https://img.shields.io/github/stars/amazon-science/unconditional-time-series-diffusion?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/amazon-science/unconditional-time-series-diffusion?color=critical&style=social)  | NIPS 2023
 | Quantile  |  Electricity <br> Kaggle <br>  M4-daily <br>  Traffic <br> Wiki   |         Ensemble        | [Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting](https://proceedings.mlr.press/v202/hasson23a.html) | None | ICML 2023
 | Quantile  |  Boston <br> Concrete <br>  kin8nm <br>  Power <br> Protein  <br> Wine  <br> M5   |         BVAE        | [Neural Spline Search for Quantile Probabilistic Modeling](https://ojs.aaai.org/index.php/AAAI/article/view/26184) | None | AAAI 2023
 | Quantile |  Traffc <br>  Electricity <br> Solar Energy  |   pTSE     | [pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting](https://www.ijcai.org/proceedings/2023/521) | None| IJCAI 2023   
@@ -473,6 +483,8 @@ To reduce repetition, some data are in abbreviated form. Some terms may not repr
 | :-: | :-: | :-: | :-: | :-: | - |
 | Paper Nums: 30+  | <img width=90/> |      |     |     |  <img width=320/> |
 |  Anomaly Detection | SMD <br> MSL <br> SMAP <br> SWaT <br> PSM  |   MEMTO        | [MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection](https://proceedings.neurips.cc/paper_files/paper/2023/hash/b4c898eb1fb556b8d871fbe9ead92256-Abstract-Conference.html) | No | NIPS 2023
+|  Anomaly Detection | PSM <br> SMD <br> SWaT |   D3R        | [Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection](https://proceedings.neurips.cc/paper_files/paper/2023/hash/22f5d8e689d2a011cd8ead552ed59052-Abstract-Conference.html) | [Pytorch](https://github.com/ForestsKing/D3R) <br>![Stars](https://img.shields.io/github/stars/ForestsKing/D3R?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ForestsKing/D3R?color=critical&style=social) | NIPS 2023
+|  Anomaly Detection |SWaT <br>  WADI <br>  PSM <br> MSL <br>  SMD <br> trimSyn |   Framework        | [Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction](https://proceedings.neurips.cc/paper_files/paper/2023/hash/22f5d8e689d2a011cd8ead552ed59052-Abstract-Conference.html) | [Pytorch](https://github.com/andrewlai61616/NPSR) <br>![Stars](https://img.shields.io/github/stars/andrewlai61616/NPSR?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/andrewlai61616/NPSR?color=critical&style=social) | NIPS 2023
 |  Anomaly Detection | SMD <br> MSL <br> SMAP <br> PSM  <br>  DND|   PUAD        | [Prototype-oriented unsupervised anomaly detection for multivariate time series](https://proceedings.mlr.press/v202/li23d.html) | [Pytorch](https://github.com/LiYuxin321/PUAD) <br>![Stars](https://img.shields.io/github/stars/LiYuxin321/PUAD?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/LiYuxin321/PUAD?color=critical&style=social) | ICML 2023
 |  Anomaly Detection |UCR <br>SMD |   surrogate        | [Unsupervised Model Selection for Time Series Anomaly Detection](https://openreview.net/forum?id=gOZ_pKANaPW) | [Author](https://github.com/mononitogoswami) | ICLR 2023
 |  Anomaly Detection | MSL <br>   SMAP <br>  PSM  <br> SMD |   DCdetector        | [DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection](https://dl.acm.org/doi/10.1145/3580305.3599295) | [Pytorch](https://github.com/DAMO-DI-ML/KDD2023-DCdetector) <br>![Stars](https://img.shields.io/github/stars/DAMO-DI-ML/KDD2023-DCdetector?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/DAMO-DI-ML/KDD2023-DCdetector?color=critical&style=social) | KDD 2023