Some other nice llm for time-series repositories:
creyesp/large-time-series-model-papers
songqiang321/Time-Series-Papers
Task | Data | Name | LLM | Paper | Code | Publication |
---|---|---|---|---|---|---|
Paper Nums:?+ | ||||||
TS Forecasting | Time300B | Time-MoE | Transformer & MoE Decoder-Only |
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts | Pytorch |
Arxiv 2024 |
Long/Short Forecasting Imputation Anomaly Classification |
LOTSA | MOMENT | Transformer Encoder-Only |
MOMENT: A Family of Open Time-series Foundation Models | Pytorch |
ICML 2024 |
TS Forecasting probabilistic |
monash GluonTS |
Moirai | T5 Encoder-Only |
Unified Training of Universal Time Series Forecasting Transformers | Pytorch |
ICML 2024 |
TS Forecasting probabilistic |
Google Trends Wiki Informer .. |
TimeFM | Transformer Decoder-Only |
A decoder-only foundation model for time-series forecasting | Pytorch |
ICML 2024 |
TS Forecasting Few Shot Zero Shot |
monash LibCity |
TTM | TSMixer | Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series | Pytorch |
ICML 2024 |
TS Forecasting Few Shot Zero Shot |
TimesNet_data | Time-LLM | GPT-2 llama2-7B Decoder-Only |
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models | Pytorch |
ICLR 2024 |
Multi City Long/Short/Few/Zero |
TaxiBJ Crowd Cellular BikeNYC TrafficJN... |
UniST | Transformer Encoder-Decoder |
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction | Pytorch |
KDD 2024 |
Cross Domain | TimesNet_data | UniTime | GPT-2 Decoder-Only |
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting | Pytorch |
WWW 2024 |
Zero TS Forecasting probabilistic |
Darts monash Informer |
LLMTIME | GPT-2 llama2-70B |
Large Language Models Are Zero-Shot Time Series Forecasters | Pytorch |
NIPS 2023 |
Long/Short/Few/Zero Imputation Anomaly Classification |
TimesNet_data | GPT4TS | GPT-2 Decoder-Only |
One Fits All: Power General Time Series Analysis by Pretrained LM | Pytorch |
NIPS 2023 |
TS Forecasting probabilistic |
monash GluonTS |
Lag-Llama | llama-frame Decoder-Only |
Lag-Llama: Towards Foundation Models for Time Series Forecasting | Pytorch |
NIPS 2023 |
❗ It is highly recommended to utilize dblp and Aminer (in Chinese) to search.
Some more useful websites:
- CCF conference deadlines: https://ccfddl.github.io/
- Conference eye (会议之眼): https://www.conferenceeye.cn/#/layout/home
- Call4Papers: http://123.57.137.208/ccf/ccf-8.jsp
- Conference list: http://www.conferencelist.info/upcoming.html
- PMLR: https://proceedings.mlr.press/ (contains ICML, AISTATS, ACML, UAI, etc)