ADC is a deep neural model with an adaptive algorithm that balances cross-domain losses to better handle varying user behaviors in collaborative filtering.
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
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Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering
ADC is a deep neural model with an adaptive algorithm that balances cross-domain losses to better handle varying user behaviors in collaborative filtering.