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cs.LG2023★ 1 cited
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva +3
The need for more usable and explainable machine learning models in healthcare increases the importance of developing and utilizing causal discovery algorithms, which aim to discov…
cs.LG2021
Perlin Noise Improve Adversarial Robustness
Chengjun Tang, Kun Zhang, Chunfang Xing +2
Adversarial examples are some special input that can perturb the output of a deep neural network, in order to make produce intentional errors in the learning algorithms in the prod…