GAN papers ICLR19

	A	B
1	501Program Highlights »	Yes?
9	Poster	Y
10	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #2	Y
11	Improving MMD-GAN Training with Repulsive Loss Function	Y
12	In Tue AM Posters	Y
13	Wei Wang · Yuan Sun · Saman Halgamuge	Y
14	PDF »	Y
23	GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING	Y
24	In Tue AM Posters	Y
25	Jacob Menick · Nal Kalchbrenner	Y
26	PDF »	Y
27	Poster	Y
28	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #5	Y
33	Poster	Y
34	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #6	Y
35	GANSynth: Adversarial Neural Audio Synthesis	Y
36	In Tue AM Posters	Y
37	Jesse Engel · Kumar Agrawal · Shuo Chen · Ishaan Gulrajani · Chris Donahue · Adam Roberts	Y
38	PDF »	Y
69	Poster	Y
70	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #12	Y
71	Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation	Y
72	In Tue AM Posters	Y
73	Soochan Lee · Junsoo Ha · Gunhee Kim	Y
74	PDF »	Y
129	Poster	Y
130	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #22	Y
131	Unsupervised Adversarial Image Reconstruction	Y
132	In Tue AM Posters	Y
133	Arthur Pajot · Emmanuel de Bézenac · patrick Gallinari	Y
134	PDF »	Y
135	Poster	Y
136	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #23	Y
137	Explaining Image Classifiers by Counterfactual Generation	Y
138	In Tue AM Posters	Y
139	Chun-Hao Chang · Elliot Creager · Anna Goldenberg · David Duvenaud	Y
140	PDF »	Y
171	Poster	Y
172	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #29	Y
173	Diversity-Sensitive Conditional Generative Adversarial Networks	Y
174	In Tue AM Posters	Y
175	Dingdong Yang · Seunghoon Hong · Yunseok Jang · Tianchen Zhao · Honglak Lee	Y
176	PDF »	Y
189	Poster	Y
190	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #32	Y
191	Generating Multiple Objects at Spatially Distinct Locations	Y
192	In Tue AM Posters	Y
193	Tobias Hinz · Stefan Heinrich · Stefan Wermter	Y
194	PDF »	Y
213	Poster	Y
214	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #36	Y
215	Large Scale GAN Training for High Fidelity Natural Image Synthesis	Y
216	In Tue AM Posters	Y
217	Andrew Brock · Jeff Donahue · Karen Simonyan	Y
218	PDF »	Y
345	Poster	Y
346	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #58	Y
347	ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees	Y
348	In Tue AM Posters	Y
349	Hao He · Hao Wang · Guang-He Lee · Yonglong Tian	Y
350	PDF »	Y
435	Poster	Y
436	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #73	Y
437	GAN Dissection: Visualizing and Understanding Generative Adversarial Networks	Y
438	In Tue AM Posters	Y
439	David Bau · Jun-Yan Zhu · Hendrik Strobelt · Bolei Zhou · Joshua Tenenbaum · William Freeman · Antonio Torralba	Y
440	PDF »	Y
471	Poster	Y
472	Tue May 7th 11:00 AM -- 01:00 PM @ Great Hall BC #79	Y
473	InstaGAN: Instance-aware Image-to-Image Translation	Y
474	In Tue AM Posters	Y
475	Sangwoo Mo · Minsu Cho · Jinwoo Shin	Y
476	PDF »	Y
513	Poster	Y
514	Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #3	Y
515	Improving Generalization and Stability of Generative Adversarial Networks	Y
516	In Tue PM Posters	Y
517	Hoang Thanh-Tung · Truyen Tran · Svetha Venkatesh	Y
518	PDF »	Y
537	Poster	Y
538	Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #7	Y
539	PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees	Y
540	In Tue PM Posters	Y
541	James Jordon · Jinsung Yoon · Mihaela Schaar	Y
542	PDF »	Y
549	Poster	Y
550	Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #9	Y
551	Robust Conditional Generative Adversarial Networks	Y
552	In Tue PM Posters	Y
553	Grigorios Chrysos · Jean Kossaifi · Stefanos Zafeiriou	Y
554	PDF »	Y
561	Poster	Y
562	Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #11	Y
563	Towards GAN Benchmarks Which Require Generalization	Y
564	In Tue PM Posters	Y
565	Ishaan Gulrajani · Colin Raffel · Luke Metz	Y
566	PDF »	Y
609	Poster	Y
610	Tue May 7th 04:30 -- 06:30 PM @ Great Hall BC #20	Y
611	Generative Code Modeling with Graphs	Y