Follow
Peter Henderson
Title
Cited by
Cited by
Year
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
28212021
Deep Reinforcement Learning that Matters
P Henderson*, R Islam*, P Bachman, J Pineau, D Precup, D Meger
AAAI Conference on Artificial Intelligence (AAAI), 2018
22502018
An Introduction to Deep Reinforcement Learning
V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau
Foundations and Trends® in Machine Learning 11 (3-4), 219-354, 2018
15942018
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
arXiv preprint arXiv:2211.05100, 2022
11422022
Holistic Evaluation of Language Models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
6042022
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version
IV Serban, R Lowe, P Henderson, L Charlin, J Pineau
Dialogue & Discourse 9 (1), 1-49, 2018
438*2018
Towards the systematic reporting of the energy and carbon footprints of machine learning
P Henderson, J Hu, J Romoff, E Brunskill, D Jurafsky, J Pineau
Journal of Machine Learning Research 21 (248), 1-43, 2020
4132020
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
3472020
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
R Islam*, P Henderson*, M Gomrokchi, D Precup
Reproducibility in Machine Learning Workshop (ICML), 2017
3072017
Ethical Challenges in Data-Driven Dialogue Systems
P Henderson, K Sinha, N Angelard-Gontier, NR Ke, G Fried, R Lowe, ...
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2018
1662018
When does pretraining help? assessing self-supervised learning for law and the CaseHOLD dataset of 53,000+ legal holdings
L Zheng*, N Guha*, BR Anderson, P Henderson, DE Ho
Proceedings of the Eighteenth International Conference on Artificial …, 2021
1482021
With Little Power Comes Great Responsibility
D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky
arXiv preprint arXiv:2010.06595, 2020
1002020
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
X Qi, Y Zeng, T Xie, PY Chen, R Jia, P Mittal, P Henderson
arXiv preprint arXiv:2310.03693, 2023
832023
Underwater Multi-Robot Convoying using Visual Tracking by Detection
F Shkurti, WD Chang, P Henderson, MJ Islam, JCG Higuera, J Li, ...
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
652017
Foundation Models and Fair Use
P Henderson, X Li, D Jurafsky, T Hashimoto, MA Lemley, P Liang
arXiv preprint arXiv:2303.15715, 2023
56*2023
Benchmark Environments for Multitask Learning in Continuous Domains
P Henderson, WD Chang, F Shkurti, J Hansen, D Meger, G Dudek
Lifelong Learning: A Reinforcement Learning Approach Workshop (ICML), 2017
552017
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
J Romoff*, P Henderson*, A Piche, V Francois-Lavet, J Pineau
2nd Conference on Robot Learning (CoRL), 2018
492018
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
P Henderson*, MS Krass*, L Zheng, N Guha, CD Manning, D Jurafsky, ...
arXiv preprint arXiv:2207.00220, 2022
462022
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Y Jerncite, H Nguyen, S Biderman, A Rogers, V Danchev, S Tan, ...
462022
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
P Henderson, J Romoff, J Pineau
The 14th European Workshop on Reinforcement Learning (EWRL 2018), 2018
43*2018
The system can't perform the operation now. Try again later.
Articles 1–20