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Shihan Su

2 accepted papers

2018

Near-Optimal Machine Teaching via Explanatory Teaching Sets

AISTATS 2018poster

Modern applications of machine teaching for humans often involve domain-specific, non- trivial target hypothesis classes. To facilitate understanding of the target hypothesis, it is crucial for the teaching algorithm to use examples which are interpretable to the human learner. In this paper, we pro…

Cited by 0SourcePDFScholar
2018

Teaching Categories to Human Learners With Visual Explanations

CVPR 2018poster

We study the problem of computer-assisted teaching with explanations. Conventional approaches for machine teaching typically only provide feedback at the instance level e.g., the category or label of the instance. However, it is intuitive that clear explanations from a knowledgeable teacher can…

Cited by 86SourcePDFScholar