most citedHuman-Agent Cooperation in Bridge Bidding

5 citations · 5 across the 1 of their papers we have counts for

collaborators

5 papers

cs.AI20205 cited

Human-Agent Cooperation in Bridge Bidding

Edward Lockhart, Neil Burch, Nolan Bard +4

We introduce a human-compatible reinforcement-learning approach to a cooperative game, making use of a third-party hand-coded human-compatible bot to generate initial training data…

cs.CV2020

A Short Note on the Kinetics-700-2020 Human Action Dataset

Lucas Smaira, João Carreira, Eric Noland +3

We describe the 2020 edition of the DeepMind Kinetics human action dataset, which replenishes and extends the Kinetics-700 dataset. In this new version, there are at least 700 vide…

cs.CV2020

Self-Supervised MultiModal Versatile Networks

Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider +6

Videos are a rich source of multi-modal supervision. In this work, we learn representations using self-supervision by leveraging three modalities naturally present in videos: visua…

cs.CV2020

Visual Grounding in Video for Unsupervised Word Translation

Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh +5

There are thousands of actively spoken languages on Earth, but a single visual world. Grounding in this visual world has the potential to bridge the gap between all these languages…

cs.CV2019

End-to-End Learning of Visual Representations from Uncurated Instructional Videos

Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira +3

Annotating videos is cumbersome, expensive and not scalable. Yet, many strong video models still rely on manually annotated data. With the recent introduction of the HowTo100M data…