566 citations · 2.3k across the 23 of their papers we have counts for
5 papers · 1 filter
Image Chat: Engaging Grounded Conversations
Kurt Shuster, Samuel Humeau, Antoine Bordes +1
To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners. Communication grounded i…
Engaging Image Captioning Via Personality
Kurt Shuster, Samuel Humeau, Hexiang Hu +2
Standard image captioning tasks such as COCO and Flickr30k are factual, neutral in tone and (to a human) state the obvious (e.g., "a man playing a guitar"). While such tasks are us…
Training Millions of Personalized Dialogue Agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison +1
Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed…
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading
Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das +1
This paper aims at improving how machines can answer questions directly from text, with the focus of having models that can answer correctly multiple types of questions and from va…
DeSIGN: Design Inspiration from Generative Networks
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes +2
Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant? To help answer this question, we design and investigate different image gene…