3 papers
cs.LG2022
Training Integer-Only Deep Recurrent Neural Networks
Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville +1
Recurrent neural networks (RNN) are the backbone of many text and speech applications. These architectures are typically made up of several computationally complex components such…
cs.CV2022
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization
Xinlin Li, Bang Liu, Rui Heng Yang +3
Efficiently deploying deep neural networks on low-resource edge devices is challenging due to their ever-increasing resource requirements. To address this issue, researchers have p…
cs.LG2021
iRNN: Integer-only Recurrent Neural Network
Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia
Recurrent neural networks (RNN) are used in many real-world text and speech applications. They include complex modules such as recurrence, exponential-based activation, gate intera…