50 citations · 124 across the 17 of their papers we have counts for
3 papers · 1 filter
Privileged Contrastive Pretraining for Multimodal Affect Modelling
Kosmas Pinitas, Konstantinos Makantasis, Georgios N. Yannakakis
Affective Computing (AC) has made significant progress with the advent of deep learning, yet a persistent challenge remains: the reliable transfer of affective models from controll…
Revisiting lp-constrained Softmax Loss: A Comprehensive Study
Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis +1
Normalization is a vital process for any machine learning task as it controls the properties of data and affects model performance at large. The impact of particular forms of norma…
AffRankNet+: Ranking Affect Using Privileged Information
Konstantinos Makantasis
Many of the affect modelling tasks present an asymmetric distribution of information between training and test time; additional information is given about the training data, which…