Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
Dominique BeainiShenyang HuangJoao Alex CunhaZhiyi LiGabriela Moisescu-ParejaOleksandr DymovSamuel Maddrell-ManderCallum McLeanFrederik WenkelLuis MüllerJama Hussein MohamudAli ParvizMichael CraigMichal KoziarskiJiarui LuZhaocheng ZhuCristian GabelliniKerstin KlaserJosef DeanCas WognumMaciej SypetkowskiGuillaume RabusseauReihaneh RabbanyJian TangChristopher MorrisMirco RavanelliGuy WolfPrudencio TossouHadrien MaryTherence BoisAndrew W. FitzgibbonBlazej BanaszewskiChad MartinDominic MastersPublished in: ICLR (2024)
Keyphrases
- multi task
- multi task learning
- learning tasks
- multiple tasks
- learning problems
- multitask learning
- learning process
- learning algorithm
- learning models
- multi class
- learned models
- feature selection
- prior knowledge
- metric learning
- gaussian processes
- reinforcement learning
- image features
- image restoration
- active learning
- classification models
- structured prediction