9 citations · 15 across the 4 of their papers we have counts for
4 papers
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
Zhisheng Zhong, Fangyin Wei, Zhouchen Lin +1
Despite the recent success of deep learning models in numerous applications, their widespread use on mobile devices is seriously impeded by storage and computational requirements.…
Generalization Bounds for Vicinal Risk Minimization Principle
Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
The vicinal risk minimization (VRM) principle, first proposed by \citet{vapnik1999nature}, is an empirical risk minimization (ERM) variant that replaces Dirac masses with vicinal f…
Semi-tied Units for Efficient Gating in LSTM and Highway Networks
Chao Zhang, Philip Woodland
Gating is a key technique used for integrating information from multiple sources by long short-term memory (LSTM) models and has recently also been applied to other models such as…
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
Hongyang Zhang, Zhouchen Lin, Chao Zhang
Rank minimization has attracted a lot of attention due to its robustness in data recovery. To overcome the computational difficulty, rank is often replaced with nuclear norm. For s…