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In Search of Lost Domain Generalization

Jul 02, 2020
Ishaan Gulrajani, David Lopez-Paz

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Towards GAN Benchmarks Which Require Generalization

Jan 10, 2020
Ishaan Gulrajani, Colin Raffel, Luke Metz

* ICLR 2019 conference paper 

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Invariant Risk Minimization

Jul 05, 2019
Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz

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GANSynth: Adversarial Neural Audio Synthesis

Apr 15, 2019
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts

* Colab Notebook: 

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Improved Training of Wasserstein GANs

Dec 25, 2017
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, Aaron Courville

* NIPS camera-ready 

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SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Feb 11, 2017
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Bengio

* Published as a conference paper at ICLR 2017 

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PixelVAE: A Latent Variable Model for Natural Images

Nov 15, 2016
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, Aaron Courville

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Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Mar 05, 2016
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher

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