155 citations · 229 across the 8 of their papers we have counts for
11 papers
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe
We have now entered the era of trillion parameter machine learning models trained on billion-sized datasets scraped from the internet. The rise of these gargantuan datasets has giv…
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages
Daniel J Wu, Andrew C Yang, Vinay U Prabhu
We present Afro-MNIST, a set of synthetic MNIST-style datasets for four orthographies used in Afro-Asiatic and Niger-Congo languages: Ge`ez (Ethiopic), Vai, Osmanya, and N'Ko. Thes…
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu, Abeba Birhane
In this paper we investigate problematic practices and consequences of large scale vision datasets. We examine broad issues such as the question of consent and justice as well as s…
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer
This paper explores the scenarios under which an attacker can claim that 'Noise and access to the softmax layer of the model is all you need' to steal the weights of a convolutiona…
Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks
Nicholas Roberts, Dian Ang Yap, Vinay Uday Prabhu
The interplay between inter-neuronal network topology and cognition has been studied deeply by connectomics researchers and network scientists, which is crucial towards understandi…
Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity
Dian Ang Yap, Nicholas Roberts, Vinay Uday Prabhu
Kernel sparsity ("dying ReLUs") and lack of diversity are commonly observed in CNN kernels, which decreases model capacity. Drawing inspiration from information theory and wireless…