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01/19/2022
Learning to Rank For Push Notifications Using Pairwise Expected Regret
Listwise ranking losses have been widely studied in recommender systems....
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07/28/2020
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
Deep Neural Networks (DNNs) with sparse input features have been widely ...
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04/28/2020
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline
Recommender systems constitute the core engine of most social network pl...
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02/26/2018
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
This paper presents a novel method to deal with the challenging task of ...
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07/16/2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Deep neural networks have demonstrated very promising performance on acc...
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07/08/2017