7 citations · 18 across the 26 of their papers we have counts for
5 papers · 1 filter
Learning to See through Action: Predictive Curiosity for Robots
Stelios Zarifis, Panagiotis Filntisis, George Retsinas +1
Humans and animals do not learn vision from a fixed set of data: they move, interact, and learn from the visual consequences of their actions. Motivated by this developmental view,…
Feather: An Elegant Solution to Effective DNN Sparsification
Athanasios Glentis Georgoulakis, George Retsinas, Petros Maragos
Neural Network pruning is an increasingly popular way for producing compact and efficient models, suitable for resource-limited environments, while preserving high performance. Whi…
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Ioannis Kordonis, Emmanouil Theodosis, George Retsinas +1
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data Mining, including collaborative filtering recommendation systems, dimensionality reduction, d…
Weight Pruning via Adaptive Sparsity Loss
George Retsinas, Athena Elafrou, Georgios Goumas +1
Pruning neural networks has regained interest in recent years as a means to compress state-of-the-art deep neural networks and enable their deployment on resource-constrained devic…
RecNets: Channel-wise Recurrent Convolutional Neural Networks
George Retsinas, Athena Elafrou, Georgios Goumas +1
In this paper, we introduce Channel-wise recurrent convolutional neural networks (RecNets), a family of novel, compact neural network architectures for computer vision tasks inspir…