Search Results for author: Eric Wu

Found 9 papers, 3 papers with code

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

1 code implementation2 Oct 2023 Yongchan Kwon, Eric Wu, Kevin Wu, James Zou

Quantifying the impact of training data points is crucial for understanding the outputs of machine learning models and for improving the transparency of the AI pipeline.

Influence Approximation

GPT detectors are biased against non-native English writers

2 code implementations6 Apr 2023 Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou

In this study, we evaluate the performance of several widely-used GPT detectors using writing samples from native and non-native English writers.


Explaining medical AI performance disparities across sites with confounder Shapley value analysis

no code implementations12 Nov 2021 Eric Wu, Kevin Wu, James Zou

Medical AI algorithms can often experience degraded performance when evaluated on previously unseen sites.

Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms

no code implementations MIDL 2019 Eric Wu, Kevin Wu, William Lotter

Breast cancer classification in mammography exemplifies these challenges, with a malignancy rate of around 0. 5% in a screening population, which is compounded by the relatively small size of lesions (~1% of the image) in malignant cases.

Data Augmentation General Classification

Validation of a deep learning mammography model in a population with low screening rates

no code implementations1 Nov 2019 Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter

We specifically explore how a deep learning algorithm trained on screening mammograms from the US and UK generalizes to mammograms collected at a hospital in China, where screening is not widely implemented.

Breast Cancer Detection

Residual Attention based Network for Hand Bone Age Assessment

no code implementations21 Dec 2018 Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin

The hierarchical attention components of the residual attention subnet force our network to focus on the key components of the X-ray images and generate the final predictions as well as the associated visual supports, which is similar to the assessment procedure of clinicians.

Hand Segmentation

Conditional Infilling GANs for Data Augmentation in Mammogram Classification

1 code implementation21 Jul 2018 Eric Wu, Kevin Wu, David Cox, William Lotter

Deep learning approaches to breast cancer detection in mammograms have recently shown promising results.

Breast Cancer Detection Classification +2

Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition

no code implementations6 Mar 2018 Kevin Wu, Eric Wu, Gabriel Kreiman

We use a biologically inspired two-part convolutional neural network ('GistNet') that models the fovea and periphery to provide a proof-of-principle demonstration that computational object recognition can significantly benefit from the gist of the scene as contextual information.

Object Recognition Scene Understanding

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