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

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves.

L. Metz, N. Maheswaranathan, C. Freeman, B. Poole, and J. Sohl-Dickstein. CoRR, (2020)

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.

Friedmar Lüke

Hermann Lüke

Werner Luke

Alfred Lüke

Claudia Lüke

Other publications of authors with the same name

Using learned optimizers to make models robust to input noise.L. Metz, N. Maheswaranathan, J. Shlens, J. Sohl-Dickstein, and E. Cubuk. CoRR, (2019)Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.A. Radford, L. Metz, and S. Chintala. ICLR (Poster), (2016)Learning to Learn Without Labels.L. Metz, N. Maheswaranathan, B. Cheung, and J. Sohl-Dickstein. ICLR (Workshop), OpenReview.net, (2018)Parallel Training of Deep Networks with Local Updates.M. Laskin, L. Metz, S. Nabarrao, M. Saroufim, B. Noune, C. Luschi, J. Sohl-Dickstein, and P. Abbeel. CoRR, (2020)Noise-Reuse in Online Evolution Strategies.O. Li, J. Harrison, J. Sohl-Dickstein, V. Smith, and L. Metz. CoRR, (2023)Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract).P. Vicol, L. Metz, and J. Sohl-Dickstein. IJCAI, page 5354-5358. ijcai.org, (2022)Towards GAN Benchmarks Which Require Generalization.I. Gulrajani, C. Raffel, and L. Metz. ICLR (Poster), OpenReview.net, (2019)Transformer-Based Learned Optimization.E. Gärtner, L. Metz, M. Andriluka, C. Freeman, and C. Sminchisescu. CVPR, page 11970-11979. IEEE, (2023)Discovered Policy Optimisation.C. Lu, J. Kuba, A. Letcher, L. Metz, C. de Witt, and J. Foerster. NeurIPS, (2022)A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases.J. Harrison, L. Metz, and J. Sohl-Dickstein. NeurIPS, (2022)

BibSonomy

Disambiguation of "Metz, Luke"

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

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves.

Please choose a person to relate this publication to

Friedmar Lüke

Hermann Lüke

Werner Luke

Alfred Lüke

Claudia Lüke

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Metz, Luke"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves.

Please choose a person to relate this publication to

Friedmar Lüke

Hermann Lüke

Werner Luke

Alfred Lüke

Claudia Lüke

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

Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves.