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20162026
most citedIncremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

481 citations · 997 across the 45 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 14 cited

Adversarial Margin Maximization Networks

Ziang Yan, Yiwen Guo, Changshui Zhang

The tremendous recent success of deep neural networks (DNNs) has sparked a surge of interest in understanding their predictive ability. Unlike the human visual system which is able…

cs.CV2019★ 44 cited

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

Ziang Yan, Yiwen Guo, Changshui Zhang

Unlike the white-box counterparts that are widely studied and readily accessible, adversarial examples in black-box settings are generally more Herculean on account of the difficul…

cs.LG2019★ 11 cited

Differentiable Architecture Search with Ensemble Gumbel-Softmax

Jianlong Chang, Xinbang Zhang, Yiwen Guo +3

For network architecture search (NAS), it is crucial but challenging to simultaneously guarantee both effectiveness and efficiency. Towards achieving this goal, we develop a differ…

cs.LG2019★ 43 cited

Deep Discriminative Clustering Analysis

Jianlong Chang, Yiwen Guo, Lingfeng Wang +3

Traditional clustering methods often perform clustering with low-level indiscriminative representations and ignore relationships between patterns, resulting in slight achievements…

cs.CV2019★ 1 cited

Deep Likelihood Network for Image Restoration with Multiple Degradation Levels

Yiwen Guo, Ming Lu, Wangmeng Zuo +2

Convolutional neural networks have been proven effective in a variety of image restoration tasks. Most state-of-the-art solutions, however, are trained using images with a single p…