1 code implementation • ICLR 2022 • Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
The release of tabular benchmarks, such as NAS-Bench-101 and NAS-Bench-201, has significantly lowered the computational overhead for conducting scientific research in neural architecture search (NAS).
1 code implementation • NeurIPS 2021 • Roman Pogodin, Yash Mehta, Timothy P. Lillicrap, Peter E. Latham
This requires the network to pause occasionally for a sleep-like phase of "weight sharing".
1 code implementation • 7 Jan 2021 • Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria
In recent years, deep learning-based automated personality trait detection has received a lot of attention, especially now, due to the massive digital footprints of an individual.
no code implementations • 3 Oct 2020 • Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi, Erik Cambria
In this work, we present a novel deep learning-based approach for automated personality detection from text.
no code implementations • 7 Aug 2019 • Yash Mehta, Navonil Majumder, Alexander Gelbukh, Erik Cambria
This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches.