most citedSelective Forgetting of Deep Networks at a Finer Level than Samples

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

stat.ML2020★ 2 cited

Selective Forgetting of Deep Networks at a Finer Level than Samples

Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh

Selective forgetting or removing information from deep neural networks (DNNs) is essential for continual learning and is challenging in controlling the DNNs. Such forgetting is cru…

eess.IV2019

Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows

Suguru Yasutomi, Tatsuya Arakaki, Ryuji Hamamoto

Medical ultrasound is widely used technique for diagnosing internal organs. As common artifacts, shadows often appear in ultrasound images. Detecting such shadows is curious becaus…