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8 Results
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Poster
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Tue 14:30 |
A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel · Hugo Berard · Gaëtan Vignoud · Pascal Vincent · Simon Lacoste-Julien |
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Poster
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Thu 14:30 |
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING Yuan Yuan · YUEMING LYU · Xi SHEN · Ivor Wai-Hung Tsang · Dit-Yan Yeung |
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Poster
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Wed 14:30 |
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen · Zhuoning Yuan · Jinfeng Yi · Bowen Zhou · Enhong Chen · Tianbao Yang |
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Poster
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Wed 14:30 |
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun · Marc A Finzi · Pavel Izmailov · Andrew G Wilson |
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Poster
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Thu 9:00 |
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors Vitalii Zhelezniak · Aleksandar D Savkov · April Shen · Francesco Moramarco · Jack Flann · Nils Hammerla |
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Poster
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Tue 14:30 |
The Unusual Effectiveness of Averaging in GAN Training Yasin YAZICI · Chuan-Sheng Foo · Stefan Winkler · Kim-Hui Yap · Georgios Piliouras · Vijay Chandrasekhar |
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Poster
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Sat 20:30 |
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging Pierre Ablin · Angelos Katharopoulos · Skyler Seto · David Grangier |
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Poster
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Sat 23:00 |
Improving the Efficiency of Distributed Training using Sparse Parameter Averaging Matt Beton · Seth Howes · Alex Cheema · Mohamed Baioumy |