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cs.LG2023
Kernel Support Vector Machine Classifiers with the -Norm Hinge Loss
Rongrong Lin, Yingjia Yao, Yulan Liu
Support Vector Machine (SVM) has been one of the most successful machine learning techniques for binary classification problems. The key idea is to maximize the margin from the dat…
cs.LG2021
SynthASR: Unlocking Synthetic Data for Speech Recognition
Amin Fazel, Wei Yang, Yulan Liu +4
End-to-end (E2E) automatic speech recognition (ASR) models have recently demonstrated superior performance over the traditional hybrid ASR models. Training an E2E ASR model require…