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60 Results
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Poster
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Tue 9:00 |
Knowledge Distillation: Bad Models Can Be Good Role Models Gal Kaplun · Eran Malach · Preetum Nakkiran · Shai Shalev-Shwartz |
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Poster
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Tue 9:00 |
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest Shen-Huan Lyu · Yi-Xiao He · Zhi-Hua Zhou |
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Poster
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Tue 14:00 |
Efficient Methods for Non-stationary Online Learning Peng Zhao · Yan-Feng Xie · Lijun Zhang · Zhi-Hua Zhou |
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Poster
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Thu 9:00 |
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning JIAQI WANG · Roei Schuster · I Shumailov · David Lie · Nicolas Papernot |
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Poster
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Wed 9:00 |
Blackbox Attacks via Surrogate Ensemble Search Zikui Cai · Chengyu Song · Srikanth Krishnamurthy · Amit Roy-Chowdhury · Salman Asif |
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Poster
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Thu 9:00 |
Learning Debiased Classifier with Biased Committee Nayeong Kim · SEHYUN HWANG · Sungsoo Ahn · Jaesik Park · Suha Kwak |
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Poster
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Tue 9:00 |
Functional Ensemble Distillation Coby Penso · Idan Achituve · Ethan Fetaya |
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Poster
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Thu 14:00 |
Improved Feature Distillation via Projector Ensemble Yudong Chen · Sen Wang · Jiajun Liu · Xuwei Xu · Frank de Hoog · Zi Huang |
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Poster
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Tue 14:00 |
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Devansh Arpit · Huan Wang · Yingbo Zhou · Caiming Xiong |
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Poster
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Wed 14:00 |
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Horváth · Mark Müller · Marc Fischer · Martin Vechev |
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Poster
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Thu 14:00 |
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery Chun-Han Yao · Wei-Chih Hung · Yuanzhen Li · Michael Rubinstein · Ming-Hsuan Yang · Varun Jampani |
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Poster
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Thu 14:00 |
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Rame · Matthieu Kirchmeyer · Thibaud Rahier · Alain Rakotomamonjy · Patrick Gallinari · Matthieu Cord |