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Efficient Neural Network Verification with Exactness Characterization.

K. Dvijotham, R. Stanforth, S. Gowal, C. Qin, S. De, and P. Kohli. UAI, volume 115 of Proceedings of Machine Learning Research, page 497-507. AUAI Press, (2019)

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Qi Qin

Qin Wang

Gang Qin

Minghao Qin

Qin Li

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A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\K. Dvijotham, J. Hayes, B. Balle, Z. Kolter, C. Qin, A. Gyorgy, K. Xiao, S. Gowal, and P. Kohli. International Conference on Learning Representations, (2020)On a continuous time model of gradient descent dynamics and instability in deep learning.M. Rosca, Y. Wu, C. Qin, and B. Dherin. CoRR, (2023)Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations.S. Gowal, C. Qin, P. Huang, A. Cemgil, K. Dvijotham, T. Mann, and P. Kohli. CoRR, (2019)Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.S. Gowal, C. Qin, P. Huang, A. Cemgil, K. Dvijotham, T. Mann, and P. Kohli. CVPR, page 1208-1217. Computer Vision Foundation / IEEE, (2020)Adversarial Robustness through Local Linearization.C. Qin, J. Martens, S. Gowal, D. Krishnan, K. Dvijotham, A. Fawzi, S. De, R. Stanforth, and P. Kohli. NeurIPS, page 13824-13833. (2019)Verification of Non-Linear Specifications for Neural Networks.C. Qin, K. Dvijotham, B. O'Donoghue, R. Bunel, R. Stanforth, S. Gowal, J. Uesato, G. Swirszcz, and P. Kohli. ICLR (Poster), OpenReview.net, (2019)A Framework for robustness Certification of Smoothed Classifiers using F-Divergences.K. Dvijotham, J. Hayes, B. Balle, J. Kolter, C. Qin, A. György, K. Xiao, S. Gowal, and P. Kohli. ICLR, OpenReview.net, (2020)Improved protein structure prediction using potentials from deep learning.A. Senior, R. Evans, J. Jumper, J. Kirkpatrick, L. Sifre, T. Green, C. Qin, A. Zídek, A. Nelson, A. Bridgland and 9 other author(s). Nat., 577 (7792): 706-710 (2020)Efficient Neural Network Verification with Exactness Characterization.K. Dvijotham, R. Stanforth, S. Gowal, C. Qin, S. De, and P. Kohli. UAI, volume 115 of Proceedings of Machine Learning Research, page 497-507. AUAI Press, (2019)Training Generative Adversarial Networks by Solving Ordinary Differential Equations.C. Qin, Y. Wu, J. Springenberg, A. Brock, J. Donahue, T. Lillicrap, and P. Kohli. NeurIPS, (2020)

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Disambiguation of "Qin, Chongli"

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Efficient Neural Network Verification with Exactness Characterization.

Please choose a person to relate this publication to

Qi Qin

Qin Wang

Gang Qin

Minghao Qin

Qin Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qin, Chongli"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Neural Network Verification with Exactness Characterization.

Please choose a person to relate this publication to

Qi Qin

Qin Wang

Gang Qin

Minghao Qin

Qin Li

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Efficient Neural Network Verification with Exactness Characterization.