626 citations · 1.7k across the 31 of their papers we have counts for
3 papers · 1 filter
Learnable Graph Convolutional Attention Networks
Adrián Javaloy, Pablo Sanchez-Martin, Amit Levi +1
Existing Graph Neural Networks (GNNs) compute the message exchange between nodes by either aggregating uniformly (convolving) the features of all the neighboring nodes, or by apply…
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Adrián Javaloy, Maryam Meghdadi, Isabel Valera
A number of variational autoencoders (VAEs) have recently emerged with the aim of modeling multimodal data, e.g., to jointly model images and their corresponding captions. Still, m…
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike, Ayan Majumdar, Olga Mineeva +2
Decision making algorithms, in practice, are often trained on data that exhibits a variety of biases. Decision-makers often aim to take decisions based on some ground-truth target…