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[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810
Evaluating the Robustness of Biomedical Concept Normalization
Implementation of some famous data mining algorithms in C++11 boost
The projects are part of the graduate-level course CSE-560 : Data Models and Query Language [Fall 2019 @ UB_SUNY] ... Course Instructor : Jan Chomicki (https://cse.buffalo.edu/~chomicki/)