2 citations · 6 across the 19 of their papers we have counts for
4 papers · 1 filter
A Principled Framework for Multi-View Contrastive Learning
Panagiotis Koromilas, Efthymios Georgiou, Giorgos Bouritsas +3
Contrastive Learning (CL), a leading paradigm in Self-Supervised Learning (SSL), typically relies on pairs of data views generated through augmentation. While multiple augmentation…
Y-Drop: A Conductance based Dropout for fully connected layers
Efthymios Georgiou, Georgios Paraskevopoulos, Alexandros Potamianos
In this work, we introduce Y-Drop, a regularization method that biases the dropout algorithm towards dropping more important neurons with higher probability. The backbone of our ap…
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks
Nikolaos Antoniou, Efthymios Georgiou, Alexandros Potamianos
Designing powerful adversarial attacks is of paramount importance for the evaluation of -bounded adversarial defenses. Projected Gradient Descent (PGD) is one of the most e…
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis
Georgios Paraskevopoulos, Efthymios Georgiou, Alexandros Potamianos
Current deep learning approaches for multimodal fusion rely on bottom-up fusion of high and mid-level latent modality representations (late/mid fusion) or low level sensory inputs…