people:david
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people:david [2021/01/02 17:37] David Peer |
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| ===== David Peer ===== | ===== David Peer ===== | ||
| - | ==== PhD Student and Machine Learning Researcher @ DeepOpinion==== | + | ==== PhD Student ==== |
| - | David Peer is currently a PhD student in the Intelligent and Interactive System group at the Universität Innsbruck (Austria) under the supervision of Antonio Rodriguez-Sanchez and is working at [[https://deepopinion.ai/|DeepOpinion]] as Machine Learning Researcher. He obtained the degree of M.Sc and B.Sc in Computer Science at the Universität Innsbruck (Austria) and studies currently the gap between expressivity and learnability of neural networks. Especially for Natural language processing (NLP) models and how we can transform this knowledge into novel AutoML or Neural Architecture Search (NAS) algorithms. | + | I finished the Ph.D.at 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 Learning, Machine Learning, Natural language processing \\ | + | |
| - | * Hobbies: Climbing, hiking, trumpet etc. | + | |
| === Positions === | === Positions === | ||
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| === Education === | === Education === | ||
| ---- | ---- | ||
| - | 2019 - Today | PhD Computer Science, University of Innsbruck \\ | + | 2019 - 2023 | PhD Computer Science, University of Innsbruck \\ |
| 2017 - 2019 | MSc Computer Science, University of Innsbruck \\ | 2017 - 2019 | MSc Computer Science, University of Innsbruck \\ | ||
| 2014 - 2017 | BSc Computer Science, University of Innsbruck \\ | 2014 - 2017 | BSc Computer Science, University of Innsbruck \\ | ||
people/david.1609605472.txt.gz · Last modified: 2021/01/02 17:37 by David Peer