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Perspectives on the State and Future of Deep Learning - 2023.

M. Goldblum, A. Anandkumar, R. Baraniuk, T. Goldstein, K. Cho, Z. Lipton, M. Mitchell, P. Nakkiran, M. Welling, and A. Wilson. CoRR, (2023)

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Walter Goldblum

Felix Micah

Micah Chukwukelu Okonkwo

Beate Maria Bruce-Micah

Regina Beatrice Bruce-Micah

Other publications of authors with the same name

Adversarial Attacks on Machine Learning Systems for High-Frequency Trading.M. Goldblum, A. Schwarzschild, N. Cohen, T. Balch, A. Patel, and T. Goldstein. CoRR, (2020)Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.M. Goldblum, H. Souri, R. Ni, M. Shu, V. Prabhu, G. Somepalli, P. Chattopadhyay, M. Ibrahim, A. Bardes, J. Hoffman and 3 other author(s). CoRR, (2023)TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.B. Feuer, R. Schirrmeister, V. Cherepanova, C. Hegde, F. Hutter, M. Goldblum, N. Cohen, and C. White. CoRR, (2024)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)The Lie Derivative for Measuring Learned Equivariance.N. Gruver, M. Finzi, M. Goldblum, and A. Wilson. CoRR, (2022)A Simple and Efficient Baseline for Data Attribution on Images.V. Singla, P. Segura, M. Goldblum, J. Geiping, and T. Goldstein. CoRR, (2023)Simplifying Neural Network Training Under Class Imbalance.R. Shwartz-Ziv, M. Goldblum, Y. Li, C. Bruss, and A. Wilson. CoRR, (2023)Transfer Learning with Deep Tabular Models.R. Levin, V. Cherepanova, A. Schwarzschild, A. Bansal, C. Bruss, T. Goldstein, A. Wilson, and M. Goldblum. CoRR, (2022)Analyzing the Machine Learning Conference Review Process.D. Tran, A. Valtchanov, K. Ganapathy, R. Feng, E. Slud, M. Goldblum, and T. Goldstein. CoRR, (2020)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)

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Disambiguation of "Goldblum, Micah"

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Perspectives on the State and Future of Deep Learning - 2023.

Please choose a person to relate this publication to

Walter Goldblum

Felix Micah

Micah Chukwukelu Okonkwo

Beate Maria Bruce-Micah

Regina Beatrice Bruce-Micah

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Goldblum, Micah"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Perspectives on the State and Future of Deep Learning - 2023.

Please choose a person to relate this publication to

Walter Goldblum

Felix Micah

Micah Chukwukelu Okonkwo

Beate Maria Bruce-Micah

Regina Beatrice Bruce-Micah

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

Perspectives on the State and Future of Deep Learning - 2023.