A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning
Author:
Affiliation:
1. University of New South Wales, Sydney, Australia
2. University of Science and Technology, Beijing, China
3. Commonwealth Scientific and Industrial Research Organisation, Sydney, Australia
4. North Carolina State University, Raleigh, NC, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4236/10321957/10273775.pdf?arnumber=10273775
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2. Generalized cross entropy loss for training deep neural networks with noisy labels;zhang;Proc 31st Adv Neural Inf Process Syst,2018
3. Sequential model based optimization with black-box constraints: Feasibility determination via machine learning
4. Reinforcement learning for combinatorial optimization: A survey
5. Explaining and harnessing adversarial examples;goodfellow;Proc 3rd Int Conf Learn Representations,0
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