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Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.

F. Such, A. Rawal, J. Lehman, K. Stanley, and J. Clune. ICML, volume 119 of Proceedings of Machine Learning Research, page 9206-9216. PMLR, (2020)

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Rajesh Rawal

Aditya Aryasomayajula

Aditya Devarakonda

Aditya Kumar

Aditya Malik

Other publications of authors with the same name

Multiagent Learning through Neuroevolution.R. Miikkulainen, E. Feasley, L. Johnson, I. Karpov, P. Rajagopalan, A. Rawal, and W. Tansey. WCCI, volume 7311 of Lecture Notes in Computer Science, page 24-46. Springer, (2012)The role of reward structure, coordination mechanism and net return in the evolution of cooperation.P. Rajagopalan, A. Rawal, R. Miikkulainen, M. Wiseman, and K. Holekamp. CIG, page 258-265. IEEE, (2011)Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.F. Such, A. Rawal, J. Lehman, K. Stanley, and J. Clune. CoRR, (2019)Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.R. Wang, J. Lehman, A. Rawal, J. Zhi, Y. Li, J. Clune, and K. Stanley. ICML, volume 119 of Proceedings of Machine Learning Research, page 9940-9951. PMLR, (2020)Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.F. Such, A. Rawal, J. Lehman, K. Stanley, and J. Clune. ICML, volume 119 of Proceedings of Machine Learning Research, page 9206-9216. PMLR, (2020)Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective.A. Rawal, and R. Miikkulainen. GECCO, page 501-508. ACM, (2016)Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity.T. Miconi, A. Rawal, J. Clune, and K. Stanley. ICLR (Poster), OpenReview.net, (2019)Using Both Latent and Supervised Shared Topics for Multitask Learning.A. Acharya, A. Rawal, R. Mooney, and E. Hruschka. ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 369-384. Springer, (2013)Memory Efficient Continual Learning with Transformers.B. Ermis, G. Zappella, M. Wistuba, A. Rawal, and C. Archambeau. NeurIPS, (2022)Continual Learning with Transformers for Image Classification.B. Ermis, G. Zappella, M. Wistuba, A. Rawal, and C. Archambeau. CVPR Workshops, page 3773-3780. IEEE, (2022)

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Disambiguation of "Rawal, Aditya"

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Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.

Please choose a person to relate this publication to

Rajesh Rawal

Aditya Aryasomayajula

Aditya Devarakonda

Aditya Kumar

Aditya Malik

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rawal, Aditya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.

Please choose a person to relate this publication to

Rajesh Rawal

Aditya Aryasomayajula

Aditya Devarakonda

Aditya Kumar

Aditya Malik

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

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.