11 citations · 42 across the 25 of their papers we have counts for
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cs.AR2021★ 8 cited
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
Seyed Abolfazl Ghasemzadeh, Erfan Bank Tavakoli, Mehdi Kamal +2
In this paper, first, a hardware-friendly pruning algorithm for reducing energy consumption and improving the speed of Long Short-Term Memory (LSTM) neural network accelerators is…
cs.CL2021★ 2 cited
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks
Mohsen Ahmadzadeh, Mehdi Kamal, Ali Afzali-Kusha +1
In this work, to limit the number of required attention inference hops in memory-augmented neural networks, we propose an online adaptive approach called A2P-MANN. By exploiting a…