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pro vyhledávání: '"Lei, Jinhao"'
Quantization, knowledge distillation, and magnitude pruning are among the most popular methods for neural network compression in NLP. Independently, these methods reduce model size and can accelerate inference, but their relative benefit and combinat
Externí odkaz:
http://arxiv.org/abs/2208.09684
Autor:
Drori, Iddo, Thaker, Darshan, Srivatsa, Arjun, Jeong, Daniel, Wang, Yueqi, Nan, Linyong, Wu, Fan, Leggas, Dimitri, Lei, Jinhao, Lu, Weiyi, Fu, Weilong, Gao, Yuan, Karri, Sashank, Kannan, Anand, Moretti, Antonio, AlQuraishi, Mohammed, Keasar, Chen, Pe'er, Itsik
Publikováno v:
Machine Learning in Computational Biology, 2019
Proteins are the major building blocks of life, and actuators of almost all chemical and biophysical events in living organisms. Their native structures in turn enable their biological functions which have a fundamental role in drug design. This moti
Externí odkaz:
http://arxiv.org/abs/1911.05531
Sentiment understanding has been a long-term goal of AI in the past decades. This paper deals with sentence-level sentiment classification. Though a variety of neural network models have been proposed very recently, however, previous models either de
Externí odkaz:
http://arxiv.org/abs/1611.03949
Publikováno v:
In Renewable Energy April 2019 133:422-432
