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Joachim Ott
Joachim Ott
PhD Candidate, ETH Zurich and University of Zurich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
Recurrent neural networks with limited numerical precision
J Ott, Z Lin, Y Zhang, SC Liu, Y Bengio
arXiv preprint arXiv:1608.06902, 2016
852016
Machine learning approach for query resolution via a dynamic determination and allocation of expert resources
M Vontobel, S Vermeeren, J Ott
US Patent 10,223,646, 2019
92019
Machine learning approach for query resolution via a dynamic determination and allocation of expert resources
M Vontobel, S Vermeeren, J Ott
US Patent App. 16/748,271, 2020
32020
Advanced text tagging using key phrase extraction and key phrase generation
M Vontobel, S Vermeeren, J Ott
US Patent 10,878,174, 2020
22020
Machine learning approach for query resolution via a dynamic determination and allocation of expert resources
M Vontobel, S Vermeeren, J Ott
US Patent App. 16/291,275, 2019
22019
Ontology-based technology platform for mapping skills, job titles and expertise topics
M Vontobel, S Vermeeren, J Ott
US Patent App. 17/225,488, 2022
12022
Ontology-based technology platform for mapping and filtering skills, job titles, and expertise topics
M Vontobel, S Vermeeren, J Ott
US Patent 11,379,763, 2022
12022
Advanced text tagging using key phrase extraction and key phrase generation
M Vontobel, S Vermeeren, J Ott
US Patent App. 17/113,437, 2021
12021
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing
Z Wang, L Cheng, J Ott, P Moure, SC Liu
UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
2023
Biologically-Inspired Continual Learning of Human Motion Sequences
J Ott, SC Liu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
Ontology-based technology platform for mapping skills, job titles and expertise topics
M Vontobel, S Vermeeren, J Ott
US Patent App. 17/851,415, 2022
2022
Machine learning approach for query resolution via a dynamic determination and allocation of expert resources
M Vontobel, S Vermeeren, J Ott
US Patent App. 16/721,568, 2020
2020
Machine learning approach for query resolution via a dynamic determination and allocation of expert resources
M Vontobel, S Vermeeren, J Ott
US Patent App. 16/695,881, 2020
2020
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