Hsin-Pai Cheng | DeepAI

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Featured Co-authors

Xin Liu
216 publications
Bo Chen
105 publications
Yiran Chen
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Hai Li
85 publications
Chen Feng
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Meng Li
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Xiaopeng Zhang
69 publications
Yang Lu
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George K. Thiruvathukal
31 publications

∙ 11/30/2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition

Scale variance among different sizes of body parts and objects is a chal...

0 Hsin-Pai Cheng, et al. ∙

∙ 07/08/2020

NASGEM: Neural Architecture Search via Graph Embedding Method

Neural Architecture Search (NAS) automates and prospers the design of ne...

0 Hsin-Pai Cheng, et al. ∙

∙ 03/04/2020

Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices

Recent advances demonstrate that irregularly wired neural networks from ...

12 Byung Hoon Ahn, et al. ∙

∙ 11/21/2019

AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture

Resource is an important constraint when deploying Deep Neural Networks ...

0 Tunhou Zhang, et al. ∙

∙ 04/15/2019

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...

16 Sergei Alyamkin, et al. ∙

∙ 12/06/2018

Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack

In recent years, deep neural networks demonstrated state-of-the-art perf...

0 Jingyang Zhang, et al. ∙

∙ 11/27/2018

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning

Distributed learning systems have enabled training large-scale models ov...

0 Hsin-Pai Cheng, et al. ∙

∙ 10/20/2018

Differentiable Fine-grained Quantization for Deep Neural Network Compression

Neural networks have shown great performance in cognitive tasks. When de...

0 Hsin-Pai Cheng, et al. ∙

∙ 10/03/2018

2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...

6 Sergei Alyamkin, et al. ∙

∙ 05/27/2017

A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks

Some recent works revealed that deep neural networks (DNNs) are vulnerab...

0 Chang Song, et al. ∙

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