Qizhou Wang | DeepAI

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Featured Co-authors

Masashi Sugiyama
222 publications
Jian Yang
171 publications
Bin Wang
167 publications
Yu Liu
160 publications
Tongliang Liu
140 publications
Feng Liu
124 publications
Bo Han
121 publications
Bernard Ghanem
120 publications
Mingyuan Zhou
110 publications
Gang Niu
93 publications
Jianye Hao
82 publications

∙ 03/09/2023

Out-of-distribution Detection with Implicit Outlier Transformation

Outlier exposure (OE) is powerful in out-of-distribution (OOD) detection...

0 Qizhou Wang, et al. ∙

∙ 09/29/2022

Towards Lightweight Black-Box Attacks against Deep Neural Networks

Black-box attacks can generate adversarial examples without accessing th...

0 Chenghao Sun, et al. ∙

∙ 04/05/2022

Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders

Hyperspectral imaging has attracted significant attention to identify sp...

12 Maksim Makarenko, et al. ∙

∙ 10/06/2021

SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network

This work introduced a novel GAN architecture for unsupervised image tra...

0 Qizhou Wang, et al. ∙

∙ 06/15/2021

Probabilistic Margins for Instance Reweighting in Adversarial Training

Reweighting adversarial data during training has been recently shown to ...

0 Qizhou Wang, et al. ∙

∙ 03/17/2021

Learning with Group Noise

Machine learning in the context of noise is a challenging but practical ...

0 Qizhou Wang, et al. ∙

∙ 01/14/2021

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

The drastic increase of data quantity often brings the severe decrease o...

0 Qizhou Wang, et al. ∙

∙ 10/21/2019

A game method for improving the interpretability of convolution neural network

Real artificial intelligence always has been focused on by many machine ...

0 Jinwei Zhao, et al. ∙

∙ 11/21/2018

How to improve the interpretability of kernel learning

In recent years, machine learning researchers have focused on methods to...

0 Jinwei Zhao, et al. ∙

∙ 11/19/2018

How far from automatically interpreting deep learning

In recent years, deep learning researchers have focused on how to find t...

0 Jinwei Zhao, et al. ∙

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