Search Results for author: Sabrina Caldwell

Found 6 papers, 3 papers with code

Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space

no code implementations23 Aug 2021 Xuyang Shen, Jo Plested, Sabrina Caldwell, Tom Gedeon

Varying the proportions of male and female faces in the training data can have a substantial effect on behavior on the test data: we found that the seemingly obvious choice of 50:50 proportions was not the best for this dataset to reduce biased behavior on female faces, which was 71% unbiased as compared to our top unbiased rate of 84%.

Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network

1 code implementation11 May 2021 Yang Liu, Saeed Anwar, Zhenyue Qin, Pan Ji, Sabrina Caldwell, Tom Gedeon

The prevalent convolutional neural network (CNN) based image denoising methods extract features of images to restore the clean ground truth, achieving high denoising accuracy.

Disentanglement Image Denoising

A Token-wise CNN-based Method for Sentence Compression

no code implementations23 Sep 2020 Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina Caldwell, Tom Gedeon

Sentence compression is a Natural Language Processing (NLP) task aimed at shortening original sentences and preserving their key information.

Sentence Sentence Compression

Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable

1 code implementation7 Sep 2020 Yang Liu, Zhenyue Qin, Saeed Anwar, Sabrina Caldwell, Tom Gedeon

Identifying the information lossless condition for deep neural architectures is important, because tasks such as image restoration require keep the detailed information of the input data as much as possible.

Image Denoising Image Inpainting +1

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