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Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers


Oct 28, 2022
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang

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* EMNLP 2022 Findings 

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Are Vision Transformers Robust to Patch Perturbations?


Nov 20, 2021
Jindong Gu, Volker Tresp, Yao Qin

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Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation


Oct 15, 2021
Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang

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A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images


Feb 16, 2021
Junzheng Wu, Biao Li, Yao Qin, Weiping Ni, Han Zhang, Yuli Sun

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CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation


Oct 05, 2020
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi

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* 6 pages, accepted to EMNLP 2020 

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Improving Uncertainty Estimates through the Relationship with Adversarial Robustness


Jun 29, 2020
Yao Qin, Xuezhi Wang, Alex Beutel, Ed H. Chi

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Deflecting Adversarial Attacks


Feb 18, 2020
Yao Qin, Nicholas Frosst, Colin Raffel, Garrison Cottrell, Geoffrey Hinton

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Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions


Jul 05, 2019
Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison Cottrell, Geoffrey Hinton

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Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition


Mar 22, 2019
Yao Qin, Nicholas Carlini, Ian Goodfellow, Garrison Cottrell, Colin Raffel

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Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification


Oct 30, 2018
Yao Qin, Lorenzo Bruzzone, Biao Li, Yuanxin Ye

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* 14 pages, 10 figures 

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