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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

* 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

* 14 pages, 10 figures 

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Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification

Sep 04, 2018
Yao Qin, Lorenzo Bruzzone, Biao Li

* 15 pages, 10 figures 

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Autofocus Layer for Semantic Segmentation

Jun 11, 2018
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison Cottrell, Antonio Criminisi, Aditya Nori

* Published on MICCAI 2018 

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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Aug 14, 2017
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison Cottrell

* International Joint Conference on Artificial Intelligence (IJCAI), 2017 

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Hierarchical Cellular Automata for Visual Saliency

May 26, 2017
Yao Qin, Mengyang Feng, Huchuan Lu, Garrison W. Cottrell


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