GAN papers ICLR19
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501Program Highlights »Yes?
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PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #2Y
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Improving MMD-GAN Training with Repulsive Loss FunctionY
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In Tue AM PostersY
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Wei Wang · Yuan Sun · Saman HalgamugeY
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PDF »Y
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GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING
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In Tue AM PostersY
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Jacob Menick · Nal KalchbrennerY
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PDF »Y
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PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #5Y
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PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #6Y
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GANSynth: Adversarial Neural Audio SynthesisY
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In Tue AM PostersY
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Jesse Engel · Kumar Agrawal · Shuo Chen · Ishaan Gulrajani · Chris Donahue · Adam RobertsY
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PDF »Y
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PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #12Y
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Harmonizing Maximum Likelihood with GANs for Multimodal Conditional GenerationY
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In Tue AM PostersY
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Soochan Lee · Junsoo Ha · Gunhee KimY
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PDF »Y
129
PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #22Y
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Unsupervised Adversarial Image ReconstructionY
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In Tue AM PostersY
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Arthur Pajot · Emmanuel de Bézenac · patrick GallinariY
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PDF »Y
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PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #23Y
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Explaining Image Classifiers by Counterfactual GenerationY
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In Tue AM PostersY
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Chun-Hao Chang · Elliot Creager · Anna Goldenberg · David DuvenaudY
140
PDF »Y
171
PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #29Y
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Diversity-Sensitive Conditional Generative Adversarial NetworksY
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In Tue AM PostersY
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Dingdong Yang · Seunghoon Hong · Yunseok Jang · Tianchen Zhao · Honglak LeeY
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PDF »Y
189
PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #32Y
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Generating Multiple Objects at Spatially Distinct LocationsY
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In Tue AM PostersY
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Tobias Hinz · Stefan Heinrich · Stefan WermterY
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PDF »Y
213
PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #36Y
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Large Scale GAN Training for High Fidelity Natural Image SynthesisY
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In Tue AM PostersY
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Andrew Brock · Jeff Donahue · Karen SimonyanY
218
PDF »Y
345
PosterY
346
Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #58Y
347
ProbGAN: Towards Probabilistic GAN with Theoretical GuaranteesY
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In Tue AM PostersY
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Hao He · Hao Wang · Guang-He Lee · Yonglong TianY
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PDF »Y
435
PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #73Y
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GAN Dissection: Visualizing and Understanding Generative Adversarial NetworksY
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In Tue AM PostersY
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David Bau · Jun-Yan Zhu · Hendrik Strobelt · Bolei Zhou · Joshua Tenenbaum · William Freeman · Antonio TorralbaY
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PDF »Y
471
PosterY
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Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #79Y
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InstaGAN: Instance-aware Image-to-Image TranslationY
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In Tue AM PostersY
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Sangwoo Mo · Minsu Cho · Jinwoo ShinY
476
PDF »Y
513
PosterY
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Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #3Y
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Improving Generalization and Stability of Generative Adversarial NetworksY
516
In Tue PM PostersY
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Hoang Thanh-Tung · Truyen Tran · Svetha VenkateshY
518
PDF »Y
537
PosterY
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Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #7Y
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PATE-GAN: Generating Synthetic Data with Differential Privacy GuaranteesY
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In Tue PM PostersY
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James Jordon · Jinsung Yoon · Mihaela SchaarY
542
PDF »Y
549
PosterY
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Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #9Y
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Robust Conditional Generative Adversarial NetworksY
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In Tue PM PostersY
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Grigorios Chrysos · Jean Kossaifi · Stefanos ZafeiriouY
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PDF »Y
561
PosterY
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Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #11Y
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Towards GAN Benchmarks Which Require GeneralizationY
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In Tue PM PostersY
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Ishaan Gulrajani · Colin Raffel · Luke MetzY
566
PDF »Y
609
PosterY
610
Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #20Y
611
Generative Code Modeling with GraphsY
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