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Generative Adversarial Networks

I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. (June 2014)

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N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.B. Oreshkin, D. Carpov, N. Chapados, and Y. Bengio. CoRR, (2019)The Pytorch-kaldi Speech Recognition Toolkit.M. Ravanelli, T. Parcollet, and Y. Bengio. ICASSP, page 6465-6469. IEEE, (2019)High-dimensional sequence transduction.N. Boulanger-Lewandowski, Y. Bengio, and P. Vincent. ICASSP, page 3178-3182. IEEE, (2013)On the Morality of Artificial Intelligence Commentary.A. Luccioni, and Y. Bengio. IEEE Technol. Soc. Mag., 39 (1): 16-25 (2020)Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction.A. El-Nouby, S. Sharma, H. Schulz, R. Hjelm, L. Asri, S. Kahou, Y. Bengio, and G. Taylor. ICCV, page 10303-10311. IEEE, (2019)On the interplay between noise and curvature and its effect on optimization and generalization.V. Thomas, F. Pedregosa, B. van Merriënboer, P. Manzagol, Y. Bengio, and N. Roux. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3503-3513. PMLR, (2020)The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis.J. Thompson, Y. Bengio, and M. Schönwiesner. CoRR, (2019)Gradient Starvation: A Learning Proclivity in Neural Networks.M. Pezeshki, S. Kaba, Y. Bengio, A. Courville, D. Precup, and G. Lajoie. CoRR, (2020)Understanding the difficulty of training deep feedforward neural networks.X. Glorot, and Y. Bengio. AISTATS, volume 9 of JMLR Proceedings, page 249-256. JMLR.org, (2010)Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives.A. Goyal, S. Sodhani, J. Binas, X. Peng, S. Levine, and Y. Bengio. ICLR, OpenReview.net, (2020)

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Generative Adversarial Networks

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Disambiguation of "Bengio, Yoshua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generative Adversarial Networks

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Generative Adversarial Networks