Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases

9 November 2018

Papers citing "Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases"

4 / 4 papers shown

Title
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime Yuqing Gao Pengyuan Zhai K. Mosalam GAN AI4CE 32 76 0 29 Nov 2022
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 Feb 2020
Exploring Bias in GAN-based Data Augmentation for Small Samples Mengxiao Hu Jinlong Li 8 20 0 21 May 2019
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 570 0 19 Mar 2017