68 citations · 73 across the 4 of their papers we have counts for
4 papers
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning
Niall O' Mahony, Sean Campbell, Lenka Krpalkova +2
Fine-Grained Change Detection and Regression Analysis are essential in many applications of ArtificialIntelligence. In practice, this task is often challenging owing to the lack of…
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
Rohit Prabhavalkar, Yanzhang He, David Rybach +4
End-to-end models that condition the output label sequence on all previously predicted labels have emerged as popular alternatives to conventional systems for automatic speech reco…
Understanding and Exploiting Dependent Variables with Deep Metric Learning
Niall O' Mahony, Sean Campbell, Anderson Carvalho +4
Deep Metric Learning (DML) approaches learn to represent inputs to a lower-dimensional latent space such that the distance between representations in this space corresponds with a…
Deep Learning vs. Traditional Computer Vision
Niall O' Mahony, Sean Campbell, Anderson Carvalho +5
Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques whic…