3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 3 cited
Vision Transformers for Mobile Applications: A Short Survey
Nahid Alam, Steven Kolawole, Simardeep Sethi +2
Vision Transformers (ViTs) have demonstrated state-of-the-art performance on many Computer Vision Tasks. Unfortunately, deploying these large-scale ViTs is resource-consuming and i…
cs.CL2023★ 2 cited
Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages
Colin Leong, Herumb Shandilya, Bonaventure F. P. Dossou +10
Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources…