9 citations · 20 across the 9 of their papers we have counts for
4 papers · 1 filter
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu +3
The rapid advancements of computing technology facilitate the development of diverse deep learning applications. Unfortunately, the efficiency of parallel computing infrastructures…
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao +2
In this paper, we provide a fine-grain machine learning-based method, PerfNetV2, which improves the accuracy of our previous work for modeling the neural network performance on a v…
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
Chuan Wang, Kwan-Liu Ma
Deep Recurrent Neural Networks (RNN) continues to find success in predictive decision-making with temporal event sequences. Recent studies have shown the importance and practicalit…
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks
Chuan Wang, Xumeng Wang, Kwan-Liu Ma
Deep Recurrent Neural Networks (RNN) is increasingly used in decision-making with temporal sequences. However, understanding how RNN models produce final predictions remains a majo…