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Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

A. Schwarzschild, E. Borgnia, A. Gupta, F. Huang, U. Vishkin, M. Goldblum, and T. Goldstein. NeurIPS, page 6695-6706. (2021)

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Eitan Dabah

Eitan Yaakobi

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DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations.E. Borgnia, J. Geiping, V. Cherepanova, L. Fowl, A. Gupta, A. Ghiasi, F. Huang, M. Goldblum, and T. Goldstein. CoRR, (2021)Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff.E. Borgnia, V. Cherepanova, L. Fowl, A. Ghiasi, J. Geiping, M. Goldblum, T. Goldstein, and A. Gupta. ICASSP, page 3855-3859. IEEE, (2021)Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability.R. Levin, M. Shu, E. Borgnia, F. Huang, M. Goldblum, and T. Goldstein. NeurIPS, (2022)Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff.E. Borgnia, V. Cherepanova, L. Fowl, A. Ghiasi, J. Geiping, M. Goldblum, T. Goldstein, and A. Gupta. CoRR, (2020)Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries.Y. Wen, A. Bansal, H. Kazemi, E. Borgnia, M. Goldblum, J. Geiping, and T. Goldstein. CoRR, (2022)End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking.A. Bansal, A. Schwarzschild, E. Borgnia, Z. Emam, F. Huang, M. Goldblum, and T. Goldstein. CoRR, (2022)Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries.Y. Wen, A. Bansal, H. Kazemi, E. Borgnia, M. Goldblum, J. Geiping, and T. Goldstein. ICLR, OpenReview.net, (2023)Datasets for Studying Generalization from Easy to Hard Examples.A. Schwarzschild, E. Borgnia, A. Gupta, A. Bansal, Z. Emam, F. Huang, M. Goldblum, and T. Goldstein. CoRR, (2021)Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.A. Bansal, E. Borgnia, H. Chu, J. Li, H. Kazemi, F. Huang, M. Goldblum, J. Geiping, and T. Goldstein. CoRR, (2022)Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability.R. Levin, M. Shu, E. Borgnia, F. Huang, M. Goldblum, and T. Goldstein. CoRR, (2021)

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Disambiguation of "Borgnia, Eitan"

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Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

Please choose a person to relate this publication to

Eitan Dabah

Eitan Yaakobi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Borgnia, Eitan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

Please choose a person to relate this publication to

Eitan Dabah

Eitan Yaakobi

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

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.