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Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.

M. Alizadeh, S. Tailor, L. Zintgraf, J. van Amersfoort, S. Farquhar, N. Lane, and Y. Gal. ICLR, OpenReview.net, (2022)

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Joost Krüger

Joost Wintterlin

Holger Joost

Petra Joost

Karsten Joost

Other publications of authors with the same name

Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression.J. van Amersfoort, L. Smith, A. Jesson, O. Key, and Y. Gal. CoRR, (2021)Uncertainty Estimation Using a Single Deep Deterministic Neural Network.J. van Amersfoort, L. Smith, Y. Teh, and Y. Gal. ICML, volume 119 of Proceedings of Machine Learning Research, page 9690-9700. PMLR, (2020)Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.A. Jesson, P. Tigas, J. van Amersfoort, A. Kirsch, U. Shalit, and Y. Gal. NeurIPS, page 30465-30478. (2021)Single Shot Structured Pruning Before Training.J. van Amersfoort, M. Alizadeh, S. Farquhar, N. Lane, and Y. Gal. CoRR, (2020)Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network.J. van Amersfoort, L. Smith, Y. Teh, and Y. Gal. CoRR, (2020)Plex: Towards Reliability using Pretrained Large Model Extensions.D. Tran, J. Liu, M. Dusenberry, D. Phan, M. Collier, J. Ren, K. Han, Z. Wang, Z. Mariet, H. Hu and 16 other author(s). CoRR, (2022)Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective.L. Smith, J. van Amersfoort, H. Huang, S. Roberts, and Y. Gal. CoRR, (2021)Mixtures of large-scale dynamic functional brain network modes.C. Gohil, E. Roberts, R. Timms, A. Skates, C. Higgins, A. Quinn, U. Pervaiz, J. van Amersfoort, P. Notin, Y. Gal and 2 other author(s). NeuroImage, (2022)Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.M. Alizadeh, S. Tailor, L. Zintgraf, J. van Amersfoort, S. Farquhar, N. Lane, and Y. Gal. ICLR, OpenReview.net, (2022)Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty.J. Mukhoti, A. Kirsch, J. van Amersfoort, P. Torr, and Y. Gal. CoRR, (2021)

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Disambiguation of "van Amersfoort, Joost"

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Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.

Please choose a person to relate this publication to

Joost Krüger

Joost Wintterlin

Holger Joost

Petra Joost

Karsten Joost

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "van Amersfoort, Joost"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.

Please choose a person to relate this publication to

Joost Krüger

Joost Wintterlin

Holger Joost

Petra Joost

Karsten Joost

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

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.