14 citations · 16 across the 4 of their papers we have counts for
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cs.LG2020
Implicit Rank-Minimizing Autoencoder
Li Jing, Jure Zbontar, Yann LeCun
An important component of autoencoders is the method by which the information capacity of the latent representation is minimized or limited. In this work, the rank of the covarianc…
cs.LG2018
WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices
Li Jing, Rumen Dangovski, Marin Soljacic
We present a logarithmic-scale efficient convolutional neural network architecture for edge devices, named WaveletNet. Our model is based on the well-known depthwise convolution, a…
cs.LG2017★ 14 cited
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing, Caglar Gulcehre, John Peurifoy +4
We present a novel recurrent neural network (RNN) based model that combines the remembering ability of unitary RNNs with the ability of gated RNNs to effectively forget redundant/i…