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: CoRR (2022)
Keyphrases
- geo spatial
- transfer learning
- spatial data
- spatial analysis
- big data
- knowledge transfer
- active learning
- machine learning
- labeled data
- cross domain
- digital libraries
- reinforcement learning
- collaborative filtering
- geographic information
- semi supervised learning
- spatial databases
- text categorization
- transfer knowledge
- machine learning algorithms
- spatio temporal data
- learning algorithm
- text classification
- data analysis
- video data
- decision support
- target domain
- text mining
- video sequences
- spatial information
- key frames
- unlabeled data
- video shots
- data sources
- decision trees