5 citations · 5 across the 3 of their papers we have counts for
3 papers
Investigating Social Bias Changes in Quantized Language Models
Stanley Z. Hua, Sanae Lotfi, Irene Y. Chen
Post-training quantization reduces the memory needed to run large language models but alters their social biases in ways that aggregate metrics fail to capture. We present the firs…
From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis
Stanley Bryan Z. Hua, Mandy Rickard, John Weaver +8
Previous work has shown the potential of deep learning to predict renal obstruction using kidney ultrasound images. However, these image-based classifiers have been trained with th…
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning
Stanley Bryan Z. Hua, Alex X. Lu, Alan M. Moses
Motivation: In recent years, image-based biological assays have steadily become high-throughput, sparking a need for fast automated methods to extract biologically-meaningful infor…