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12/21/2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction
Nowadays, data-driven deep neural models have already shown remarkable p...
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12/21/2021
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding
The learned iterative shrinkage thresholding algorithm (LISTA) introduce...
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11/11/2020
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
Inspired by the success of deep learning, recent industrial Click-Throug...
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10/26/2020
Learning Fast Approximations of Sparse Nonlinear Regression
The idea of unfolding iterative algorithms as deep neural networks has b...
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06/25/2019