Search Results for author: Yash Mehta

Found 5 papers, 3 papers with code

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy

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).

Image Classification Neural Architecture Search +4

Towards Biologically Plausible Convolutional Networks

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".

Multitask Learning for Emotion and Personality Detection

1 code implementation7 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.

Language Modelling Model Optimization

Recent Trends in Deep Learning Based Personality Detection

no code implementations7 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.

BIG-bench Machine Learning Personality Trait Recognition

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