3 citations · 4 across the 5 of their papers we have counts for
7 papers
Two Centuries of Sexism in British Parliament: A Computational Analysis of Women's Representation in the Hansard Corpus
Mohammad Omar Khursheed, Mandira Sawkar, Ashiqur R. KhudaBukhsh
The language a legislature uses to debate women's rights, even in favour of them, encodes systematic patterns of sexism that persist across two centuries. In this work, we analyse…
(Mis)generalization of Helpful-only Fine-tuning
Mohammad Omar Khursheed, Baram Sosis, Fabien Roger
Helpful-only models, that is, models that are trained to always follow user intent, are valuable for dangerous capability evaluations and other areas of AI R&D where refusals would…
Small-footprint slimmable networks for keyword spotting
Zuhaib Akhtar, Mohammad Omar Khursheed, Dongsu Du +1
In this work, we present Slimmable Neural Networks applied to the problem of small-footprint keyword spotting. We show that slimmable neural networks allow us to create super-nets…
Latency Control for Keyword Spotting
Christin Jose, Joseph Wang, Grant P. Strimel +3
Conversational agents commonly utilize keyword spotting (KWS) to initiate voice interaction with the user. For user experience and privacy considerations, existing approaches to KW…
Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
Mohammad Omar Khursheed, Christin Jose, Rajath Kumar +3
In this work, we propose Tiny-CRNN (Tiny Convolutional Recurrent Neural Network) models applied to the problem of wakeword detection, and augment them with scaled dot product atten…
Small Footprint Convolutional Recurrent Networks for Streaming Wakeword Detection
Mohammad Omar Khursheed, Christin Jose, Rajath Kumar +3
In this work, we propose small footprint Convolutional Recurrent Neural Network models applied to the problem of wakeword detection and augment them with scaled dot product attenti…
Analyzing Gender Bias within Narrative Tropes
Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner +2
Popular media reflects and reinforces societal biases through the use of tropes, which are narrative elements, such as archetypal characters and plot arcs, that occur frequently ac…