52 citations · 96 across the 5 of their papers we have counts for
5 papers
Extremely coarse learning objectives induce human-aligned representations in AI vision models
Yash Mehta, Michael F. Bonner
Artificial neural networks trained on visual tasks develop internal representations resembling those of the primate visual system, a discovery that has guided a decade of computati…
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
Yash Mehta, Colin White, Arber Zela +6
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 archit…
Towards Biologically Plausible Convolutional Networks
Roman Pogodin, Yash Mehta, Timothy P. Lillicrap +1
Convolutional networks are ubiquitous in deep learning. They are particularly useful for images, as they reduce the number of parameters, reduce training time, and increase accurac…
Multitask Learning for Emotion and Personality Detection
Yang Li, Amirmohammad Kazameini, Yash Mehta +1
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.…
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
Amirmohammad Kazameini, Samin Fatehi, Yash Mehta +2
Recently, the automatic prediction of personality traits has received increasing attention and has emerged as a hot topic within the field of affective computing. In this work, we…