25 citations · 85 across the 21 of their papers we have counts for
3 papers · 2 filters
On the Interplay between Fairness and Explainability
Stephanie Brandl, Emanuele Bugliarello, Ilias Chalkidis
In order to build reliable and trustworthy NLP applications, models need to be both fair across different demographics and explainable. Usually these two objectives, fairness and e…
Measuring Progress in Fine-grained Vision-and-Language Understanding
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal +2
While pretraining on large-scale image-text data from the Web has facilitated rapid progress on many vision-and-language (V&L) tasks, recent work has demonstrated that pretrained m…
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining
Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks
Recent work in vision-and-language pretraining has investigated supervised signals from object detection data to learn better, fine-grained multimodal representations. In this work…