Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.
Theodore PapamarkouMaria SkoularidouKonstantina PallaLaurence AitchisonJulyan ArbelDavid B. DunsonMaurizio FilipponeVincent FortuinPhilipp HennigJosé Miguel Hernández-LobatoAliaksandr HubinAlexander ImmerTheofanis KaraletsosMohammad Emtiyaz KhanAgustinus KristiadiYingzhen LiStephan MandtChristopher NemethMichael A. OsborneTim G. J. RudnerDavid RügamerYee Whye TehMax WellingAndrew Gordon WilsonRuqi ZhangPublished in: CoRR (2024)
Keyphrases
- deep learning
- machine learning
- unsupervised feature learning
- unsupervised learning
- artificial intelligence
- real world
- mental models
- expert systems
- deep architectures
- weakly supervised
- knowledge representation
- feature selection
- bayesian networks
- maximum likelihood
- text mining
- learning algorithm
- learning strategies
- information retrieval