9 citations · 29 across the 19 of their papers we have counts for
5 papers · 1 filter
TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
Khondoker Murad Hossain, Tim Oates
As deep neural networks and the datasets used to train them get larger, the default approach to integrating them into research and commercial projects is to download a pre-trained…
Online Continual Learning of End-to-End Speech Recognition Models
Muqiao Yang, Ian Lane, Shinji Watanabe
Continual Learning, also known as Lifelong Learning, aims to continually learn from new data as it becomes available. While prior research on continual learning in automatic speech…
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang, Jianben He, Zhihua Jin +3
Multimodal sentiment analysis aims to recognize people's attitudes from multiple communication channels such as verbal content (i.e., text), voice, and facial expressions. It has b…
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong, Ying Peng, Muqiao Yang +2
Deep neural networks have been shown as a class of useful tools for addressing signal recognition issues in recent years, especially for identifying the nonlinear feature structure…
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang +3
This paper introduces Relative Predictive Coding (RPC), a new contrastive representation learning objective that maintains a good balance among training stability, minibatch size s…