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20182022
most citedA Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations

54 citations · 178 across the 16 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 12 cited

LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image

Moyun Liu, Youping Chen, Lei He +2

X-ray image plays an important role in manufacturing industry for quality assurance, because it can reflect the internal condition of weld region. However, the shape and scale of d…

cs.CV2021★ 2 cited

A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images

Moyun Liu, Jingming Xie, Jing Hao +3

X-ray images are commonly used to ensure the security of devices in quality inspection industry. The recognition of signs printed on X-ray weld images plays an essential role in di…

cs.LG2021★ 3 cited

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks

Yonggan Fu, Qixuan Yu, Yang Zhang +4

Deep Neural Networks (DNNs) are known to be vulnerable to adversarial attacks, i.e., an imperceptible perturbation to the input can mislead DNNs trained on clean images into making…

cs.AI2021★ 7 cited

Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation

Qiwei Zhong, Guanxiong Zeng, Danqing Zhu +4

An obstacle to scientific document understanding is the extensive use of acronyms which are shortened forms of long technical phrases. Acronym disambiguation aims to find the corre…

cs.CR2021★ 3 cited

Teacher Model Fingerprinting Attacks Against Transfer Learning

Yufei Chen, Chao Shen, Cong Wang +1

Transfer learning has become a common solution to address training data scarcity in practice. It trains a specified student model by reusing or fine-tuning early layers of a well-t…

cs.LG2021★ 2 cited

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators

Yonggan Fu, Yongan Zhang, Yang Zhang +2

While maximizing deep neural networks' (DNNs') acceleration efficiency requires a joint search/design of three different yet highly coupled aspects, including the networks, bitwidt…

cs.CL2021★ 2 cited

AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21

Danqing Zhu, Wangli Lin, Yang Zhang +4

Acronym identification focuses on finding the acronyms and the phrases that have been abbreviated, which is crucial for scientific document understanding tasks. However, the limite…