- Tsinghua UniversityCN1.1k papers
- University of Chinese Academy of SciencesCN1.1k papers
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- University of GroningenNL930 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT928 papers
- Institute of High Energy PhysicsCN882 papers
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- Hunan UniversityCN874 papers
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15 papers · 2 filters
Generative Learning With Euler Particle Transport
Yuan Gao, Jian Huang, Yuling Jiao +3
We propose an Euler particle transport (EPT) approach for generative learning. The proposed approach is motivated by the problem of finding an optimal transport map from a referenc…
The Emerging Trends of Multi-Label Learning
Weiwei Liu, Haobo Wang, Xiaobo Shen +1
Exabytes of data are generated daily by humans, leading to the growing need for new efforts in dealing with the grand challenges for multi-label learning brought by big data. For e…
Detection Defense Against Adversarial Attacks with Saliency Map
Dengpan Ye, Chuanxi Chen, Changrui Liu +2
It is well established that neural networks are vulnerable to adversarial examples, which are almost imperceptible on human vision and can cause the deep models misbehave. Such phe…
Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
In current deep learning paradigms, local training or the Standalone framework tends to result in overfitting and thus poor generalizability. This problem can be addressed by Distr…
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe +13
Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (…
Towards Visual Distortion in Black-Box Attacks
Nannan Li, Zhenzhong Chen
Constructing adversarial examples in a black-box threat model injures the original images by introducing visual distortion. In this paper, we propose a novel black-box attack appro…