R
Rob Fergus
Researcher at New York University
Publications - 175
Citations - 103027
Rob Fergus is an academic researcher from New York University. The author has contributed to research in topics: Object (computer science) & Reinforcement learning. The author has an hindex of 82, co-authored 165 publications receiving 85690 citations. Previous affiliations of Rob Fergus include California Institute of Technology & University of Oxford.
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Proceedings ArticleDOI
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer,Ankit Singh Rawat,Seungyeon Kim,Chong You,Himanshu Jain,Andreas Veit,Rob Fergus,Sanjay Kumar +7 more
TL;DR: This paper proposes the teacher-guided training (TGT) framework for training a high-quality compact model that leverages the knowledge acquired by pretrained generative models, while obviating the need to go through a large volume of data.
Journal ArticleDOI
Distilling Internet-Scale Vision-Language Models into Embodied Agents
TL;DR: The authors use vision-language models (VLMs) to supervise embodied agents to ground language into their observation and action spaces, using a VLM to retroactively generate language describing the agent's behavior.
Journal ArticleDOI
NetHack is Hard to Hack
TL;DR: Recently, the NeurIPS 2021 NetHack Challenge revealed that symbolic agents outperformed neural approaches by over four times in median game score as mentioned in this paper , showing that mere scaling is insufficient to bridge the performance gap with the best symbolic models or even the top human players.
Journal Article
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding
Ronan Alexandre Riochet,Mario Ynocente Castro,Mathieu Bernard,Adam Lerer,Rob Fergus,Véronique Izard,Emmanuel Dupoux +6 more
TL;DR: In this article, the authors propose an evaluation framework which diagnoses how much a given system understands about physics by testing whether it can tell apart well matched videos of possible versus impossible events.