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Confounding bias is a crucial problem when applying machine learning to practice, especially in clinical practice. We consider the of representations independent multiple biases. In literature, this mostly solved by purging information from learned representations. however expect strategy harm diversity representation, and thus limiting its prospective usage (e.g., interpretation). Therefore, w...

Y. I. Kim, R. Ainsworth, A. Aryshev, S. T. Boogert,* G. Boorman, J. Frisch, A. Heo, Y. Honda, W.H. Hwang, J. Y. Huang, E-S. Kim, S. H. Kim, A. Lyapin, T. Naito, J. May, D. McCormick, R. E. Mellor, S. Molloy, J. Nelson, S. J. Park, Y. J. Park, M. Ross, S. Shin, C. Swinson, T. Smith, N. Terunuma, T. Tauchi, J. Urakawa, and G. R. White Kyungpook National University, Daegu, Korea John Adams Institu...