15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.NE2019
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation
Yu-Wei Kao, Hung-Hsuan Chen
Backpropagation (BP) is the cornerstone of today's deep learning algorithms, but it is inefficient partially because of backward locking, which means updating the weights of one la…
cs.IR2017★ 15 cited
Weighted-SVD: Matrix Factorization with Weights on the Latent Factors
Hung-Hsuan Chen
The Matrix Factorization models, sometimes called the latent factor models, are a family of methods in the recommender system research area to (1) generate the latent factors for t…