75 citations · 131 across the 20 of their papers we have counts for
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cs.LG2018
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
Issam Laradji, Reza Babanezhad
Unsupervised domain adaptation techniques have been successful for a wide range of problems where supervised labels are limited. The task is to classify an unlabeled `target' datas…
cs.IR2018
A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and Coverage
Zainab Zolaktaf, Reza Babanezhad, Rachel Pottinger
Standard collaborative filtering approaches for top-N recommendation are biased toward popular items. As a result, they recommend items that users are likely aware of and under-rep…