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Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems

Mar 11, 2020
Nicolas Riesterer, Daniel Brand, Marco Ragni

* 6 pages, 5 figures 

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Training Deep Neural Networks with 8-bit Floating Point Numbers

Dec 19, 2018
Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan

* NeurIPS 2018 (12 pages) 

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AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

Dec 07, 2017
Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan

* IBM Research AI, 9 pages, 7 figures, AAAI18 accepted 

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MEC: Memory-efficient Convolution for Deep Neural Network

Jun 21, 2017
Minsik Cho, Daniel Brand

* ICML2017 

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