5 citations · 21 across the 22 of their papers we have counts for
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cs.LG2021
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
Quyen Tran, Lam Tran, Linh Chu Hai +2
In this work, we examine the advantages of using multiple types of behaviour in recommendation systems. Intuitively, each user has to do some implicit actions (e.g., click) before…
cs.LG2021★ 1 cited
Generalization of GANs and overparameterized models under Lipschitz continuity
Khoat Than, Nghia Vu
Generative adversarial networks (GANs) are so complex that the existing learning theories do not provide a satisfactory explanation for why GANs have great success in practice. The…
cs.LG2021★ 2 cited
Structured Dropout Variational Inference for Bayesian Neural Networks
Son Nguyen, Duong Nguyen, Khai Nguyen +3
Approximate inference in Bayesian deep networks exhibits a dilemma of how to yield high fidelity posterior approximations while maintaining computational efficiency and scalability…