350 citations · 652 across the 49 of their papers we have counts for
5 papers · 1 filter
Prior Networks for Detection of Adversarial Attacks
Andrey Malinin, Mark Gales
Adversarial examples are considered a serious issue for safety critical applications of AI, such as finance, autonomous vehicle control and medicinal applications. Though significa…
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks
Anton Ragni, Qiujia Li, Mark Gales +1
The standard approach to assess reliability of automatic speech transcriptions is through the use of confidence scores. If accurate, these scores provide a flexible mechanism to fl…
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
Qiujia Li, Preben Ness, Anton Ragni +1
The standard approach to mitigate errors made by an automatic speech recognition system is to use confidence scores associated with each predicted word. In the simplest case, these…
Predictive Uncertainty Estimation via Prior Networks
Andrey Malinin, Mark Gales
Estimating how uncertain an AI system is in its predictions is important to improve the safety of such systems. Uncertainty in predictive can result from uncertainty in model param…
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription
Yu Wang, Xie Chen, Mark Gales +2
State-of-the-art English automatic speech recognition systems typically use phonetic rather than graphemic lexicons. Graphemic systems are known to perform less well for English as…