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We show when maximizing a properly defined $f$-divergence measure with respect to a classifier's predictions and the supervised labels is robust with label noise.
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Brendan Van Rooyen, Aditya Menon, and Robert C Williamson · 2015
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Eric Arazo, Diego Ortego, Paul Albert, Noel E. O’Connor, and Kevin McGuinness · 2019
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Nontawat Charoenphakdee, Jongyeong Lee, and Masashi Sugiyama · 2019
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Youngdong Kim, Junho Yim, Juseung Yun, and Junmo Kim · 2019
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