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20202023
most citedCode Smells in Machine Learning Systems

12 citations · 41 across the 10 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.LG2021★ 9 cited

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps

Muhammad Awais, Fengwei Zhou, Chuanlong Xie +3

Deep neural networks are susceptible to adversarially crafted, small and imperceptible changes in the natural inputs. The most effective defense mechanism against these examples is…

cs.SE2021★ 3 cited

PyNose: A Test Smell Detector For Python

Tongjie Wang, Yaroslav Golubev, Oleg Smirnov +3

Similarly to production code, code smells also occur in test code, where they are called test smells. Test smells have a detrimental effect not only on test code but also on the pr…

cs.CV2021★ 3 cited

Salient Object Ranking with Position-Preserved Attention

Hao Fang, Daoxin Zhang, Yi Zhang +5

Instance segmentation can detect where the objects are in an image, but hard to understand the relationship between them. We pay attention to a typical relationship, relative salie…

cs.LG2021

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework

Yuan Gao, Jiawei Li, Maoguo Gong +2

Multi-party learning provides solutions for training joint models with decentralized data under legal and practical constraints. However, traditional multi-party learning approache…

cs.SE2021

Changes from the Trenches: Should We Automate Them?

Yaroslav Golubev, Jiawei Li, Viacheslav Bushev +2

Code changes constitute one of the most important features of software evolution. Studying them can provide insights into the nature of software development and also lead to practi…

cs.CV2021

Horizontal-to-Vertical Video Conversion

Tun Zhu, Daoxin Zhang, Yao Hu +4

Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices. To revitalize the exposure of horizontal contents, we he…