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Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.

G. Somepalli, L. Fowl, A. Bansal, P. Chiang, Y. Dar, R. Baraniuk, M. Goldblum, and T. Goldstein. CVPR, page 13689-13698. IEEE, (2022)

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Chiao Yeh

Ping-Ping Tsai

Teshome Yehualaeshet

Yu-Hsiang Yeh

Su-Ying Yeh

Other publications of authors with the same name

Compressing GANs using Knowledge Distillation.A. Aguinaldo, P. Chiang, A. Gain, A. Patil, K. Pearson, and S. Feizi. CoRR, (2019)ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning.K. Kuo, A. Ostuni, E. Horishny, M. Curry, S. Dooley, P. yeh Chiang, T. Goldstein, and J. Dickerson. CoRR, (2020)WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic.R. Ni, H. Chu, O. Castañeda, P. yeh Chiang, C. Studer, and T. Goldstein. ICLR, OpenReview.net, (2021)Certified Defenses for Adversarial PatchesP. yeh Chiang*, R. Ni*, A. Abdelkader, C. Zhu, C. Studor, and T. Goldstein. International Conference on Learning Representations, (2020)Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers.C. Zhu, R. Ni, P. Chiang, H. Li, F. Huang, and T. Goldstein. CoRR, (2020)Certified Defenses for Adversarial Patches.P. yeh Chiang, R. Ni, A. Abdelkader, C. Zhu, C. Studer, and T. Goldstein. ICLR, OpenReview.net, (2020)Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.G. Somepalli, L. Fowl, A. Bansal, P. Chiang, Y. Dar, R. Baraniuk, M. Goldblum, and T. Goldstein. CVPR, page 13689-13698. IEEE, (2022)WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic.R. Ni, H. Chu, O. Castañeda, P. yeh Chiang, C. Studer, and T. Goldstein. CoRR, (2020)Certifying Strategyproof Auction Networks.M. Curry, P. Chiang, T. Goldstein, and J. Dickerson. NeurIPS, (2020)Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent.P. yeh Chiang, R. Ni, D. Miller, A. Bansal, J. Geiping, M. Goldblum, and T. Goldstein. ICLR, OpenReview.net, (2023)

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Disambiguation of "Chiang, Ping-Yeh"

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Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.

Please choose a person to relate this publication to

Chiao Yeh

Ping-Ping Tsai

Teshome Yehualaeshet

Yu-Hsiang Yeh

Su-Ying Yeh

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chiang, Ping-Yeh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.

Please choose a person to relate this publication to

Chiao Yeh

Ping-Ping Tsai

Teshome Yehualaeshet

Yu-Hsiang Yeh

Su-Ying Yeh

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 Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.