165 citations · 249 across the 25 of their papers we have counts for
5 papers · 1 filter
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
Jianyi Yang, Shaolei Ren
With the exploding popularity of machine learning, domain knowledge in various forms has been playing a crucial role in improving the learning performance, especially when training…
Scaling Up Deep Neural Network Optimization for Edge Inference
Bingqian Lu, Jianyi Yang, Shaolei Ren
Deep neural networks (DNNs) have been increasingly deployed on and integrated with edge devices, such as mobile phones, drones, robots and wearables. To run DNN inference directly…
Text-Conditioned Transformer for Automatic Pronunciation Error Detection
Zhan Zhang, Yuehai Wang, Jianyi Yang
Automatic pronunciation error detection (APED) plays an important role in the domain of language learning. As for the previous ASR-based APED methods, the decoded results need to b…
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Zhihui Shao, Jianyi Yang, Shaolei Ren
Inference accuracy of deep neural networks (DNNs) is a crucial performance metric, but can vary greatly in practice subject to actual test datasets and is typically unknown due to…
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets
Zhihui Shao, Jianyi Yang, Shaolei Ren
To increase the trustworthiness of deep neural network (DNN) classifiers, an accurate prediction confidence that represents the true likelihood of correctness is crucial. Towards t…