793 citations · 3.2k across the 19 of their papers we have counts for
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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…
stat.ML2017★ 291 cited
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui +2
Learning discrete representations of data is a central machine learning task because of the compactness of the representations and ease of interpretation. The task includes cluster…