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Large-scale graph representation learning with very deep GNNs and self-supervision.

R. Addanki, P. Battaglia, D. Budden, A. Deac, J. Godwin, T. Keck, W. Li, A. Sanchez-Gonzalez, J. Stott, S. Thakoor, and P. Velickovic. CoRR, (2021)

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Monika Budden

Wahyudi David

Florian Bodo David

Jens-Ulrich Davids

Joachim David

Other publications of authors with the same name

Distributed Prioritized Experience Replay.D. Horgan, J. Quan, D. Budden, G. Barth-Maron, M. Hessel, H. van Hasselt, and D. Silver. ICLR (Poster), OpenReview.net, (2018)Observe and Look Further: Achieving Consistent Performance on Atari.T. Pohlen, B. Piot, T. Hester, M. Azar, D. Horgan, D. Budden, G. Barth-Maron, H. van Hasselt, J. Quan, M. Vecerík and 3 other author(s). CoRR, (2018)Unified Scaling Laws for Routed Language Models.A. Clark, D. de Las Casas, A. Guy, A. Mensch, M. Paganini, J. Hoffmann, B. Damoc, B. Hechtman, T. Cai, S. Borgeaud and 16 other author(s). CoRR, (2022)Scaling Language Models: Methods, Analysis & Insights from Training Gopher.J. Rae, S. Borgeaud, T. Cai, K. Millican, J. Hoffmann, H. Song, J. Aslanides, S. Henderson, R. Ring, S. Young and 70 other author(s). CoRR, (2021)RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.A. Botev, S. De, S. Smith, A. Fernando, G. Muraru, R. Haroun, L. Berrada, R. Pascanu, P. Sessa, R. Dadashi and 52 other author(s). CoRR, (2024)A Generalized Framework for Population Based Training.A. Li, O. Spyra, S. Perel, V. Dalibard, M. Jaderberg, C. Gu, D. Budden, T. Harley, and P. Gupta. KDD, page 1791-1799. ACM, (2019)Scaling data-driven robotics with reward sketching and batch reinforcement learning.S. Cabi, S. Colmenarejo, A. Novikov, K. Konyushkova, S. Reed, R. Jeong, K. Zolna, Y. Aytar, D. Budden, M. Vecerík and 6 other author(s). Robotics: Science and Systems, (2020)Modular Meta-Learning with Shrinkage.Y. Chen, A. Friesen, F. Behbahani, A. Doucet, D. Budden, M. Hoffman, and N. de Freitas. NeurIPS, (2020)A Combinatorial Perspective on Transfer Learning.J. Wang, E. Sezener, D. Budden, M. Hutter, and J. Veness. NeurIPS, (2020)Sample Efficient Adaptive Text-to-Speech.Y. Chen, Y. Assael, B. Shillingford, D. Budden, S. Reed, H. Zen, Q. Wang, L. Cobo, A. Trask, B. Laurie and 4 other author(s). ICLR (Poster), OpenReview.net, (2019)

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Disambiguation of "Budden, David"

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Large-scale graph representation learning with very deep GNNs and self-supervision.

Please choose a person to relate this publication to

Monika Budden

Wahyudi David

Florian Bodo David

Jens-Ulrich Davids

Joachim David

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Budden, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Large-scale graph representation learning with very deep GNNs and self-supervision.

Please choose a person to relate this publication to

Monika Budden

Wahyudi David

Florian Bodo David

Jens-Ulrich Davids

Joachim David

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

Large-scale graph representation learning with very deep GNNs and self-supervision.