Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
Christian EichenbergerMoritz NeunHenry MartinPedro HerruzoMarkus SpanringYichao LuSungbin ChoiVsevolod KonyakhinNina LukashinaAleksei ShpilmanNina WiedemannMartin RaubalBo WangHai L. VuReza MohajerpoorChen CaiInhi KimLuca HermesAndrew MelnikRiza VeliogluMarkus ViethMalte SchillingAlabi BojesomoHasan Al-MarzouqiPanos LiatsisJay SantokhiDylan HillierYiming YangJoned SarwarAnna JordanEmil HewageDavid JonietzFei TangAleksandra GrucaMichael KoppDavid P. KreilSepp HochreiterPublished in: NeurIPS (Competition and Demos) (2021)
Keyphrases
- geo spatial
- transfer learning
- spatial data
- spatial analysis
- knowledge transfer
- reinforcement learning
- cross domain
- labeled data
- transfer knowledge
- machine learning
- big data
- digital libraries
- machine learning algorithms
- active learning
- collaborative filtering
- geographic information
- text classification
- spatio temporal data
- text mining
- spatio temporal
- geographic information systems
- spatial databases
- video data
- semi supervised learning
- geographical information systems
- learning algorithm
- information retrieval
- road network
- video content
- temporal information
- knowledge discovery
- target domain
- video sequences