66 citations · 102 across the 9 of their papers we have counts for
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cs.CV2020
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model
Junjie Liu, Dongchao Wen, Deyu Wang +4
Recent methods have significantly reduced the performance degradation of Binary Neural Networks (BNNs), but guaranteeing the effective and efficient training of BNNs is an unsolved…
cs.CV2020
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework
Junjie Liu, Dongchao Wen, Deyu Wang +4
Despite the achievements of recent binarization methods on reducing the performance degradation of Binary Neural Networks (BNNs), gradient mismatching caused by the Straight-Throug…
cs.LG2020★ 27 cited
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu, Zhe Xu, Runbin Shi +2
We present a novel network pruning algorithm called Dynamic Sparse Training that can jointly find the optimal network parameters and sparse network structure in a unified optimizat…