Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks
Author:
Affiliation:
1. University of Oklahoma, Norman, United States of America
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3654380
Reference14 articles.
1. Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, and Gaurav S. Sukhatme. 2019. Meta Learning via Learned Loss. In International Conference on Pattern Recognition (ICPR). 4161--4168.
2. Randaugment: Practical automated data augmentation with a reduced search space
3. Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization
4. AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification
5. Identity Mappings in Deep Residual Networks
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