11 citations · 16 across the 13 of their papers we have counts for
3 papers · 1 filter
Tensor train decompositions on recurrent networks
Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li +2
Recurrent neural networks (RNN) such as long-short-term memory (LSTM) networks are essential in a multitude of daily live tasks such as speech, language, video, and multimodal lear…
A Causal Direction Test for Heterogeneous Populations
Vahid Partovi Nia, Xinlin Li, Masoud Asgharian +3
A probabilistic expert system emulates the decision-making ability of a human expert through a directional graphical model. The first step in building such systems is to understand…
Importance of Data Loading Pipeline in Training Deep Neural Networks
Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia
Training large-scale deep neural networks is a long, time-consuming operation, often requiring many GPUs to accelerate. In large models, the time spent loading data takes a signifi…