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people:david [2021/01/02 17:41]
David Peer
people:david [2022/02/16 09:11]
David Peer
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 {{  ../​../​people/​david_img.png?​200| David Peer}} {{  ../​../​people/​david_img.png?​200| David Peer}}
 ===== David Peer ===== ===== David Peer =====
-==== PhD Student ​and Machine Learning Researcher @ DeepOpinion====+==== PhD Student ====
  
-I'​m ​currently working at DeepOpinion as Machine Learning Researcher and I'm also a Ph.D. student in the Intelligent and Interactive System group at the Universität Innsbruck (Austria) under the supervision of Antonio Rodriguez-Sanchez. I obtained the degree of M.Sc and B.Sc in Computer Science at the Universität Innsbruck (Austria) and study currently the gap between expressivity and learnability of neural networks. At DeepOpinion I study how we can transform this knowledge into novel AutoML or Neural Architecture Search (NAS) algorithms for Natural language processing (NLP) models to outperform current SOTA methods.+I'm a Ph.D. student in the Intelligent and Interactive System group at the Universität Innsbruck (Austria) under the supervision of Antonio Rodriguez-Sanchez ​and I'm working at DeepOpinion as a machine learning researcher. I obtained the degree of M.Sc and B.Sc in Computer Science at the Universität Innsbruck (Austria) and study currently the gap between expressivity and learnability of neural networks. At DeepOpinion I study how we can transform this knowledge into novel AutoML or Neural Architecture Search (NAS) algorithms for Natural language processing (NLP) models to outperform current SOTA methods.
  
 [[https://​scholar.google.com/​citations?​user=THmkZOIAAAAJ|Google Scholar]] [[https://​scholar.google.com/​citations?​user=THmkZOIAAAAJ|Google Scholar]]
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 === Areas of Interest === === Areas of Interest ===
 ---- ----
-  * Understanding ​the gap between expressivity and learnability of neural networks ​([[https://​arxiv.org/​pdf/1905.08744.pdf|1]], [[https://​arxiv.org/​pdf/2011.02956.pdf|2]], [[https://​preregister.science/​papers_20neurips/​55_paper.pdf|3]])\\ +My main interest is to improve state-of-the art results in machine-learning by understanding ​the gap between expressivity and learnability of neural networks ​that seems to be huge. Here is the list of the publications: ​[[https://​arxiv.org/​abs/​1905.08744|1]],​ [[https://​arxiv.org/​abs/​2011.02956|2]],​ [[https://​preregister.science/​papers_20neurips/​55_paper.pdf|3]][[https://​www.sciencedirect.com/science/article/pii/​S2665963821000014|4]], [[https://​arxiv.org/​abs/​2103.04331|5]][[https://​arxiv.org/​abs/​2102.11944|6]][[https://​arxiv.org/​abs/​2105.14839|7]] [[https://​arxiv.org/​abs/​2104.07393|8]] [[https://​arxiv.org/​abs/​2201.11091|9]]\\
-  * Topics: ​[[https://​www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/|Learning Theory]], Deep LearningMachine Learning, Natural language processing \\ +
-  * HobbiesClimbing, hikingtrumpet etc.+
  
 === Positions === === Positions ===
people/david.txt · Last modified: 2023/04/19 15:34 by David Peer