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pro vyhledávání: '"Panahi, Aliakbar"'
Publikováno v:
Quantum Machine Intelligence 3(2): 1-11. 2021
Quantum computing leverages quantum effects to build algorithms that are faster then their classical variants. In machine learning, for a given model architecture, the speed of training the model is typically determined by the size of the training da
Externí odkaz:
http://arxiv.org/abs/2204.10700
In this paper, we investigate a commonsense inference task that unifies natural language understanding and commonsense reasoning. We describe our attempt at SemEval-2020 Task 4 competition: Commonsense Validation and Explanation (ComVE) challenge. We
Externí odkaz:
http://arxiv.org/abs/2006.01205
Publikováno v:
International Conference on Learning Representations 2020
Deep learning natural language processing models often use vector word embeddings, such as word2vec or GloVe, to represent words. A discrete sequence of words can be much more easily integrated with downstream neural layers if it is represented as a
Externí odkaz:
http://arxiv.org/abs/1911.04975
When samples have internal structure, we often see a mismatch between the objective optimized during training and the model's goal during inference. For example, in sequence-to-sequence modeling we are interested in high-quality translated sentences,
Externí odkaz:
http://arxiv.org/abs/1910.08211
Akademický článek
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Autor:
Panahi, Aliakbar
Publikováno v:
Theses and Dissertations.
The visualization of data helps to provide faster and deeper insight into the data. In this work, a system for visualizing and analyzing big data in an interactive mixed reality environment is proposed. Such a system can be used for representing diff
Externí odkaz:
https://scholarscompass.vcu.edu/etd/5198
https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=6284&context=etd
https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=6284&context=etd
Publikováno v:
Quantum Machine Intelligence; December 2021, Vol. 3 Issue: 2
Autor:
Henry S; Dept. Computer Science, Virginia Commonwealth University, VA, USA., Panahi A; Dept. Computer Science, Virginia Commonwealth University, VA, USA., Wijesinghe DS; Dept. of Pharmacotherapy & Outcomes Science, Virginia Commonwealth University, VA, USA., McInnes BT; Dept. Computer Science, Virginia Commonwealth University, VA, USA.
Publikováno v:
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2019 May 06; Vol. 2019, pp. 582-591. Date of Electronic Publication: 2019 May 06 (Print Publication: 2019).