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A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication.

, , , , and . CoRR, (2018)

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REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values., , , , , and . AIES, page 443-453. ACM, (2023)CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors., , , and . CoRR, (2019)Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access., , , , and . CoRR, (2023)REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values., , , , , and . CoRR, (2024)Strategies for Fair, Explainable, and Reliable Machine Learning Using Information Theory.. Carnegie Mellon University, USA, (2022)Slow and Stale Gradients Can Win the Race., , and . CoRR, (2020)Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity., , and . FAccT, page 1358-1368. ACM, (2023)Robust Counterfactual Explanations for Tree-Based Ensembles., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 5742-5756. PMLR, (2022)An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles., , , and . BIAS, volume 1418 of Communications in Computer and Information Science, page 117-129. Springer, (2021)Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition., , , , , and . CoRR, (2024)