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

Challenges in Representation Learning: A Report on Three Machine Learning Contests.

I. Goodfellow, D. Erhan, P. Carrier, A. Courville, M. Mirza, B. Hamner, W. Cukierski, Y. Tang, D. Thaler, D. Lee, Y. Zhou, C. Ramaiah, F. Feng, R. Li, X. Wang, D. Athanasakis, J. Shawe-Taylor, M. Milakov, J. Park, R. Ionescu, M. Popescu, C. Grozea, J. Bergstra, J. Xie, L. Romaszko, B. Xu, C. Zhang, and Y. Bengio. ICONIP (3), volume 8228 of Lecture Notes in Computer Science, page 117-124. Springer, (2013)

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.

Mehdi Mirza

Malika Mehdi

Ahmad Mehdizadeh

Mirza Becker

Shahjahan Mirza

Other publications of authors with the same name

Generalizable Features From Unsupervised Learning.M. Mirza, A. Courville, and Y. Bengio. ICLR (Workshop), OpenReview.net, (2017)Retrieval-Augmented Reinforcement Learning.A. Goyal, A. Friesen, A. Banino, T. Weber, N. Ke, A. Badia, A. Guez, M. Mirza, K. Konyushkova, M. Valko and 4 other author(s). CoRR, (2022)An Investigation of Model-Free Planning.A. Guez, M. Mirza, K. Gregor, R. Kabra, S. Racanière, T. Weber, D. Raposo, A. Santoro, L. Orseau, T. Eccles and 3 other author(s). ICML, volume 97 of Proceedings of Machine Learning Research, page 2464-2473. PMLR, (2019)Multi-Prediction Deep Boltzmann Machines.I. Goodfellow, M. Mirza, A. Courville, and Y. Bengio. NIPS, page 548-556. (2013)Generalizable Features From Unsupervised Learning.M. Mirza, A. Courville, and Y. Bengio. CoRR, (2016)EmoNets: Multimodal deep learning approaches for emotion recognition in video.S. Kahou, X. Bouthillier, P. Lamblin, Ç. Gülçehre, V. Michalski, K. Konda, S. Jean, P. Froumenty, Y. Dauphin, N. Boulanger-Lewandowski and 8 other author(s). J. Multimodal User Interfaces, 10 (2): 99-111 (2016)Generative Adversarial Nets.I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. NIPS, page 2672-2680. (2014)Generative adversarial networks.I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Commun. ACM, 63 (11): 139-144 (2020)Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban.P. Karkus, M. Mirza, A. Guez, A. Jaegle, T. Lillicrap, L. Buesing, N. Heess, and T. Weber. CoRR, (2020)Evaluating model-based planning and planner amortization for continuous control.A. Byravan, L. Hasenclever, P. Trochim, M. Mirza, A. Ialongo, Y. Tassa, J. Springenberg, A. Abdolmaleki, N. Heess, J. Merel and 1 other author(s). CoRR, (2021)

BibSonomy

Disambiguation of "Mirza, Mehdi"

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

Challenges in Representation Learning: A Report on Three Machine Learning Contests.

Please choose a person to relate this publication to

Mehdi Mirza

Malika Mehdi

Ahmad Mehdizadeh

Mirza Becker

Shahjahan Mirza

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mirza, Mehdi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Challenges in Representation Learning: A Report on Three Machine Learning Contests.

Please choose a person to relate this publication to

Mehdi Mirza

Malika Mehdi

Ahmad Mehdizadeh

Mirza Becker

Shahjahan Mirza

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

Challenges in Representation Learning: A Report on Three Machine Learning Contests.