Search Results for author: Raden Mu'az Mun'im

Found 2 papers, 0 papers with code

MaskConvNet: Training Efficient ConvNets from Scratch via Budget-constrained Filter Pruning

no code implementations • ICLR 2020 • Raden Mu'az Mun'im, Jie Lin, Vijay Chandrasekhar, Koichi Shinoda

(4) Fast, it is observed that the number of training epochs required by MaskConvNet is close to training a baseline without pruning.

Network Pruning

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Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition

no code implementations • 12 Nov 2018 • Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda

We investigate the feasibility of sequence-level knowledge distillation of Sequence-to-Sequence (Seq2Seq) models for Large Vocabulary Continuous Speech Recognition (LVSCR).

Knowledge Distillation Model Compression +2

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