2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2019
Adversarial Defense by Suppressing High-frequency Components
Zhendong Zhang, Cheolkon Jung, Xiaolong Liang
Recent works show that deep neural networks trained on image classification dataset bias towards textures. Those models are easily fooled by applying small high-frequency perturbat…
cs.CV2019
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
Zhendong Zhang, Cheolkon Jung
Gradient boosted decision trees (GBDTs) are widely used in machine learning, and the output of current GBDT implementations is a single variable. When there are multiple outputs, G…
cs.CV2019★ 2 cited
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study
Zhendong Zhang, Cheolkon Jung
Recurrent convolution (RC) shares the same convolutional kernels and unrolls them multiple steps, which is originally proposed to model time-space signals. We argue that RC can be…