Generalized Fisher Score for Feature Selection 1 code implementation • 14 Feb 2012 • Quanquan Gu, Zhenhui Li, Jiawei Han Fisher score is one of the most widely used supervised feature selection methods. feature selection 5 Paper Code Fast and Sample Efficient Inductive Matrix Completion...
1 code implementation • 7 Dec 2022 • Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu, Zhen-Hua Ling, Wu Guo, Quan Liu, Zhigang Chen, Cong Liu In this study, a mixture of short-channel distillers (MSD) method is proposed to fully interact the rich hierarchical information in the teacher ...
In this paper, we propose a new loss function called generalized end-to-end (GE2E) loss, which makes the training of speaker verification models more efficient than our previous tuple-based end-to-end (TE2E) loss function. Ranked #1 on Speaker Verification on CALLHOME Domain Adaptation Spea...