95 citations · 212 across the 19 of their papers we have counts for
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stat.ML2017★ 23 cited
Binary Classification from Positive-Confidence Data
Takashi Ishida, Gang Niu, Masashi Sugiyama
Can we learn a binary classifier from only positive data, without any negative data or unlabeled data? We show that if one can equip positive data with confidence (positive-confide…
stat.ML2017★ 95 cited
Learning from Complementary Labels
Takashi Ishida, Gang Niu, Weihua Hu +1
Collecting labeled data is costly and thus a critical bottleneck in real-world classification tasks. To mitigate this problem, we propose a novel setting, namely learning from comp…