Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.

F. Pinto, H. Yang, S. Lim, P. Torr, and P. Dokania. NeurIPS, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sonia Maria Pinto Escoval

Elizabeth Pinto

Mariano Aurelio Ernesto Pinto-Bazurco Mendieta

Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical methodF. Bettella. FU Berlin, (2009)

Sofia Pinto

Other publications of authors with the same name

SECI-GAN: Semantic and Edge Completion for dynamic objects removal.F. Pinto, A. Romanoni, M. Matteucci, and P. Torr. ICPR, page 10441-10448. IEEE, (2020)Strong Copyright Protection for Language Models via Adaptive Model Fusion.J. Abad, K. Donhauser, F. Pinto, and F. Yang. CoRR, (2024)Spacecraft Collision Risk Assessment with Probabilistic Programming.G. Acciarini, F. Pinto, S. Metz, S. Boufelja, S. Kaczmarek, K. Merz, J. Martinez-Heras, F. Letizia, C. Bridges, and A. Baydin. CoRR, (2020)Sample-dependent Adaptive Temperature Scaling for Improved Calibration.T. Joy, F. Pinto, S. Lim, P. Torr, and P. Dokania. CoRR, (2022)Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators.J. Yuan, F. Pinto, A. Davies, and P. Torr. ICML, OpenReview.net, (2024)Sample-Dependent Adaptive Temperature Scaling for Improved Calibration.T. Joy, F. Pinto, S. Lim, P. Torr, and P. Dokania. AAAI, page 14919-14926. AAAI Press, (2023)Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.F. Pinto, H. Yang, S. Lim, P. Torr, and P. Dokania. NeurIPS, (2022)As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?A. Hu, J. Gu, F. Pinto, K. Kamnitsas, and P. Torr. CoRR, (2024)Towards Certification of Uncertainty Calibration under Adversarial Attacks.C. Emde, F. Pinto, T. Lukasiewicz, P. Torr, and A. Bibi. CoRR, (2024)An Impartial Take to the CNN vs Transformer Robustness Contest.F. Pinto, P. Torr, and P. Dokania. ECCV (13), volume 13673 of Lecture Notes in Computer Science, page 466-480. Springer, (2022)

BibSonomy

Disambiguation of "Pinto, Francesco"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.

Please choose a person to relate this publication to

Sonia Maria Pinto Escoval

Elizabeth Pinto

Mariano Aurelio Ernesto Pinto-Bazurco Mendieta

Francesco Bettella

Sofia Pinto

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pinto, Francesco"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.

Please choose a person to relate this publication to

Sonia Maria Pinto Escoval

Elizabeth Pinto

Mariano Aurelio Ernesto Pinto-Bazurco Mendieta

Francesco Bettella

Sofia Pinto

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.