… We carefully tuned the hyperparameters of all baselines for fair comparison. We find that
DP-… Differentially private and fair deep learning: A lagrangian dual approach. In Proceedings of …

… deep learning studies, in this paper, we propose the DeepMIML network which exploits
deep … For a fair comparison, we used the benchmark dataset reported in these prior works by …

… As already pointed out above, the grayscale frames coming from a DAVIS sensor allow a
fair comparison with events, since, being produced by the same photodiodes, they observe ex…

… models and datasets enables fair comparison across different … However, comparison at the
architecture level holds certain … Narayanan, “Deep learning with limited numerical precision,” …

… In this paper, we provide a head-to-head comparison between a CNN and a CAD system …
are represented and provide a fair comparison with the deep learning method. As mentioned …

… We also present a similar comparison experiments on λ2 for CCR in Appendix C.3. … Keeping
the bad guys out: Protecting and vaccinating deep learning with jpeg compression. arXiv …

… fully automated deep learning platform to perform BAA using deep … fair comparison, we
used the same split datasets for each test as new random datasets might prevent fair comparisons…

… In recent years, the rapid integration of machine and deep learning algorithms into various …
and there is no checking whether these comparisons are fair and/or whether the methods are …

… training deep network architectures and running deep learning … learning concepts in general,
as well as deep learning in … deep learning mentioned in every corner of machine learning. …

… While showing great results, many deep learning approaches rely on large labeled training
… Thus, we measure the representative score by calculating a pairwise comparison for each …