419 citations · 676 across the 36 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2019★ 13 cited
Knowledge Squeezed Adversarial Network Compression
Shu Changyong, Li Peng, Xie Yuan +3
Deep network compression has been achieved notable progress via knowledge distillation, where a teacher-student learning manner is adopted by using predetermined loss. Recently, mo…
cs.LG2018★ 11 cited
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
Yuan Xie, Boyi Liu, Qiang Liu +3
When learning from a batch of logged bandit feedback, the discrepancy between the policy to be learned and the off-policy training data imposes statistical and computational challe…