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Nitarshan Rajkumar
Nitarshan Rajkumar
Geverifieerd e-mailadres voor cam.ac.uk - Homepage
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Pretraining Representations for Data-Efficient Reinforcement Learning
M Schwarzer, N Rajkumar, M Noukhovitch, A Anand, L Charlin, D Hjelm, ...
NeurIPS, 2021
1342021
In search of robust measures of generalization
GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ...
NeurIPS, 2020
962020
Evaluating the text-to-sql capabilities of large language models
N Rajkumar, R Li, D Bahdanau
arXiv preprint arXiv:2204.00498, 2022
932022
Harms from increasingly agentic algorithmic systems
A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
62*2023
Metadata archaeology: Unearthing data subsets by leveraging training dynamics
SA Siddiqui, N Rajkumar, T Maharaj, D Krueger, S Hooker
arXiv preprint arXiv:2209.10015, 2022
232022
Reclaiming the digital commons: A public data trust for training data
A Chan, H Bradley, N Rajkumar
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 855-868, 2023
152023
Visibility into AI Agents
A Chan, C Ezell, M Kaufmann, K Wei, L Hammond, H Bradley, E Bluemke, ...
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 958-973, 2024
62024
Evaluating the text-to-SQL capabilities of large language models. arXiv
N Rajkumar, R Li, D Bahdanau
arXiv preprint arXiv:2204.00498, 2022
52022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
N Howe, S Dufort-Labbé, N Rajkumar, PL Bacon
Advances in Neural Information Processing Systems 35, 29801-29815, 2022
42022
A New National Purpose: Innovation Can Power the Future of Britain
J Kakkad, B Macon-Cooney, J Northend, J Phillips, N Rajkumar, L Stanley, ...
Tony Blair Institute for Global Change, 2023
32023
IDs for AI Systems
A Chan, N Kolt, P Wills, U Anwar, CS de Witt, N Rajkumar, L Hammond, ...
arXiv preprint arXiv:2406.12137, 2024
2024
Self-supervision for data interpretability in image classification and sample efficiency in reinforcement learning
N Rajkumar
Université de Montréal, 2021
2021
RL: Generic reinforcement learning codebase in TensorFlow
BM Li, A Cowen-Rivers, P Kozakowski, D Tao, SR Kamalakara, ...
Journal of Open Source Software 4 (42), 1524, 2019
2019
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Artikelen 1–13