Charles H. Martin
Orcid: 0009-0004-5320-9972
According to our database1,
Charles H. Martin
authored at least 10 papers
between 2017 and 2023.
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Bibliography
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.
CoRR, 2022
2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning.
J. Mach. Learn. Res., 2021
Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics.
CoRR, 2021
2020
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data.
CoRR, 2020
Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
2019
Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2017
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior.
CoRR, 2017