188 citations · 880 across the 70 of their papers we have counts for
5 papers · 1 filter
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks
Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis +8
We propose a new approach to natural language understanding in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global…
Anderson Acceleration for Reinforcement Learning
Matthieu Geist, Bruno Scherrer
Anderson acceleration is an old and simple method for accelerating the computation of a fixed point. However, as far as we know and quite surprisingly, it has never been applied to…
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time
Assia Benbihi, Matthieu Geist, Cédric Pradalier
Deep learning generates state-of-the-art semantic segmentation provided that a large number of images together with pixel-wise annotations are available. To alleviate the expensive…
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
Human activity recognition using smart home sensors is one of the bases of ubiquitous computing in smart environments and a topic undergoing intense research in the field of ambien…
A Deep Learning Approach for Privacy Preservation in Assisted Living
Ismini Psychoula, Erinc Merdivan, Deepika Singh +6
In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Liv…