1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Hard Adversarial Example Mining for Improving Robust Fairness
Chenhao Lin, Xiang Ji, Yulong Yang +4
Adversarial training (AT) is widely considered the state-of-the-art technique for improving the robustness of deep neural networks (DNNs) against adversarial examples (AE). Neverth…
q-bio.PE2023
Random-effects substitution models for phylogenetics via scalable gradient approximations
Andrew F. Magee, Andrew J. Holbrook, Jonathan E. Pekar +7
Phylogenetic and discrete-trait evolutionary inference depend heavily on an appropriate characterization of the underlying character substitution process. In this paper, we present…
eess.SP2020★ 1 cited
TLFW: A Three-layer Framework in Wireless Rechargeable Sensor Network with a Mobile Base Station
Anwen Wang, Xianjia Meng, Lvju Wang +6
Wireless sensor networks as the base support for the Internet of things has been a large number of popularity and application. Such as intelligent agriculture, we have to use the s…