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Publikováno v:
TextilWirtschaft Online. 12/12/2022, p3-3. 1p.
Autor:
Naveen, Aryan, Morris, Jalil, Chan, Christian, Mhrous, Daniel, Helbling, E. Farrell, Hyun, Nak-Seung Patrick, Hills, Gage, Wood, Robert J.
Autonomous flapping-wing micro-aerial vehicles (FWMAV) have a host of potential applications such as environmental monitoring, artificial pollination, and search and rescue operations. One of the challenges for achieving these applications is the imp
Externí odkaz:
http://arxiv.org/abs/2411.06382
Autor:
Cho, Aeree, Kim, Grace C., Karpekov, Alexander, Helbling, Alec, Wang, Zijie J., Lee, Seongmin, Hoover, Benjamin, Chau, Duen Horng
Transformers have revolutionized machine learning, yet their inner workings remain opaque to many. We present Transformer Explainer, an interactive visualization tool designed for non-experts to learn about Transformers through the GPT-2 model. Our t
Externí odkaz:
http://arxiv.org/abs/2408.04619
Publikováno v:
In Comptes rendus - Biologies March-April 2016 339(3-4):115-122
Autor:
Lau, Matthew, Wang, Haoran, Helbling, Alec, Hul, Matthew, Peng, ShengYun, Andreoni, Martin, Lunardi, Willian T., Lee, Wenke
The robustness of machine learning models has been questioned by the existence of adversarial examples. We examine the threat of adversarial examples in practical applications that require lightweight models for one-class classification. Building on
Externí odkaz:
http://arxiv.org/abs/2407.06372
Language Models (LMs) have achieved impressive performance on various linguistic tasks, but their relationship to human language processing in the brain remains unclear. This paper examines the gaps and overlaps between LMs and the brain at different
Externí odkaz:
http://arxiv.org/abs/2407.04680
Autor:
Amiet, Christina1 christina.amiet@fhnw.ch, Helbling, Thomas2 thomas.helbling@fhnw.ch
Publikováno v:
Marketing Review St. Gallen. 2024, Issue 6, p22-27. 6p.