116 citations · 137 across the 24 of their papers we have counts for
5 papers · 1 filter
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
This work explores the potency of stochastic competition-based activations, namely Stochastic Local Winner-Takes-All (LWTA), against powerful (gradient-based) white-box and black-b…
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation
Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos +2
Automating sign language translation (SLT) is a challenging real world application. Despite its societal importance, though, research progress in the field remains rather poor. Cru…
Dialog speech sentiment classification for imbalanced datasets
Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou +4
Speech is the most common way humans express their feelings, and sentiment analysis is the use of tools such as natural language processing and computational algorithms to identify…
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos +2
Memory-efficient continuous Sign Language Translation is a significant challenge for the development of assisted technologies with real-time applicability for the deaf. In this wor…
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos +1
This work addresses adversarial robustness in deep learning by considering deep networks with stochastic local winner-takes-all (LWTA) activations. This type of network units resul…