7 citations · 8 across the 3 of their papers we have counts for
3 papers
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations
Aleksey A. Kocherzhenko, Nirmal Sobha Kartha, Tengfei Li +5
Personalization enables businesses to learn customer preferences from past interactions and thus to target individual customers with more relevant content. We consider the problem…
A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images
Amit Borundiya, Arshak Navruzyan, Dennis Igoschev +7
Ultrasound (US) imaging is highly effective with regards to both cost and versatility in real-time diagnosis; however, determination of fetal gender by US scan in the early stages…
Evolving Deep Neural Networks
Risto Miikkulainen, Jason Liang, Elliot Meyerson +8
The success of deep learning depends on finding an architecture to fit the task. As deep learning has scaled up to more challenging tasks, the architectures have become difficult t…