COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > CUED Speech Group Seminars > Questioning Ideas in Uncertainty Estimation in Deep Learning
Questioning Ideas in Uncertainty Estimation in Deep LearningAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Simon Webster McKnight. “Stories” in research often are simple, clean and convenient. This talk is about some of my experiences questioning some of these stories in the field of uncertainty estimation in deep learning. We will have a look at the following questions:
Speaker bio: Guoxuan Xia is currently a PhD student at the Circuits and Systems group in Imperial College London. He undertook his master’s project under the supervision of Prof. Mark Gales at CUED . His research interests are primarily in the areas of reliability (uncertainty, robustness) and computational efficiency (dynamic neural networks, quantisation, knowledge distillation) in deep learning. This talk is part of the CUED Speech Group Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCentre for Science and Policy Distinguished Lecture Series CCIMI Short course - Graph-based Approaches to Learning: Mathematical Theory and Perspectives VissOther talksRoundtable on Hegel's World Revolutions LMB Seminar: From regeneration to homeostasis: tissue-scale decision making Theory of Stability Regions and its Practical Application in Online Stability Assessment of Large-Scale Power Grids LMB Seminar: Title TBC Dynamic rupture behavior and friction evolution revealed by laboratory experiments using ultra high-speed digital image correlation |