33 citations · 49 across the 4 of their papers we have counts for
4 papers
A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
Danny Brahman, Pooran S. Negi, Mohammad Mahoor
Creating a data-driven model that is trained on a large dataset of unstructured dialogs is a crucial step in developing Retrieval-based Chatbot systems. This paper presents a Long…
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
Behzad Hasani, Pooran Singh Negi, Mohammad H. Mahoor
This paper introduces BReG-NeXt, a residual-based network architecture using a function wtih bounded derivative instead of a simple shortcut path (a.k.a. identity mapping) in the r…
Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing
Behzad Hasani, Pooran Singh Negi, Mohammad H. Mahoor
Residual-based neural networks have shown remarkable results in various visual recognition tasks including Facial Expression Recognition (FER). Despite the tremendous efforts have…
Leveraging Class Similarity to Improve Deep Neural Network Robustness
Pooran Singh Negi, David chan, Mohammad Mahoor
Traditionally artificial neural networks (ANNs) are trained by minimizing the cross-entropy between a provided groundtruth delta distribution (encoded as one-hot vector) and the AN…