activity
20102023
most citedShow, Attend and Tell: Neural Image Caption Generation with Visual Attention

7.4k citations · 24.2k across the 136 of their papers we have counts for

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Showing cs.AIShow all

5 papers · 1 filter

cs.AI2020★ 4 cited

Countering Language Drift with Seeded Iterated Learning

Yuchen Lu, Soumye Singhal, Florian Strub +2

Pretraining on human corpus and then finetuning in a simulator has become a standard pipeline for training a goal-oriented dialogue agent. Nevertheless, as soon as the agents are f…

cs.AI2019★ 36 cited

CLOSURE: Assessing Systematic Generalization of CLEVR Models

Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell +4

The CLEVR dataset of natural-looking questions about 3D-rendered scenes has recently received much attention from the research community. A number of models have been proposed for…

cs.AI2019★ 15 cited

No Press Diplomacy: Modeling Multi-Agent Gameplay

Philip Paquette, Yuchen Lu, Steven Bocco +6

Diplomacy is a seven-player non-stochastic, non-cooperative game, where agents acquire resources through a mix of teamwork and betrayal. Reliance on trust and coordination makes Di…

cs.AI2017★ 80 cited

HoME: a Household Multimodal Environment

Simon Brodeur, Ethan Perez, Ankesh Anand +6

We introduce HoME: a Household Multimodal Environment for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all with…

cs.AI2016★ 19 cited

GuessWhat?! Visual object discovery through multi-modal dialogue

Harm de Vries, Florian Strub, Sarath Chandar +3

We introduce GuessWhat?!, a two-player guessing game as a testbed for research on the interplay of computer vision and dialogue systems. The goal of the game is to locate an unknow…