עקוב אחר
David Scott Krueger
David Scott Krueger
University Assistant Professor, University of Cambridge
כתובת אימייל מאומתת בדומיין cam.ac.uk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Nice: Non-linear independent components estimation‏
L Dinh, D Krueger, Y Bengio‏
arXiv preprint arXiv:1410.8516, 2014‏
25982014
A closer look at memorization in deep networks‏
D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ...‏
International Conference on Machine Learning (ICML) 2017, 2017‏
2144*2017
Out-of-distribution generalization via risk extrapolation (rex)‏
D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, D Zhang, ...‏
International conference on machine learning, 5815-5826, 2021‏
9352021
Neural autoregressive flows‏
CW Huang, D Krueger, A Lacoste, A Courville‏
International Conference on Machine Learning (ICML) 2018, 2018‏
5502018
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
4102020
Zoneout: Regularizing rnns by randomly preserving hidden activations‏
D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ...‏
International Conference on Learning Representations (ICLR) 2017, 2016‏
3862016
Open problems and fundamental limitations of reinforcement learning from human feedback‏
S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ...‏
arXiv preprint arXiv:2307.15217, 2023‏
3812023
Scalable agent alignment via reward modeling: a research direction‏
J Leike, D Krueger, T Everitt, M Martic, V Maini, S Legg‏
arXiv preprint arXiv:1811.07871, 2018‏
3402018
Defining and characterizing reward gaming‏
J Skalse, N Howe, D Krasheninnikov, D Krueger‏
Advances in Neural Information Processing Systems 35, 9460-9471, 2022‏
2092022
Managing extreme AI risks amid rapid progress‏
Y Bengio, G Hinton, A Yao, D Song, P Abbeel, T Darrell, YN Harari, ...‏
Science 384 (6698), 842-845, 2024‏
194*2024
Bayesian hypernetworks‏
D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville‏
arXiv preprint arXiv:1710.04759, 2017‏
1892017
Goal misgeneralization in deep reinforcement learning‏
LL Di Langosco, J Koch, LD Sharkey, J Pfau, D Krueger‏
International Conference on Machine Learning, 12004-12019, 2022‏
1112022
Zero-bias autoencoders and the benefits of co-adapting features‏
K Konda, R Memisevic, D Krueger‏
International Conference on Learning Representations (ICLR) 2015, 2014‏
109*2014
Nested lstms‏
JRA Moniz, D Krueger‏
Asian Conference on Machine Learning, 530-544, 2017‏
922017
Foundational challenges in assuring alignment and safety of large language models‏
U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ...‏
arXiv preprint arXiv:2404.09932, 2024‏
842024
Regularizing rnns by stabilizing activations‏
D Krueger, R Memisevic‏
International Conference on Learning Representations (ICLR) 2016, 2015‏
832015
Reward model ensembles help mitigate overoptimization‏
T Coste, U Anwar, R Kirk, D Krueger‏
arXiv preprint arXiv:2310.02743, 2023‏
702023
Broken neural scaling laws‏
E Caballero, K Gupta, I Rish, D Krueger‏
arXiv preprint arXiv:2210.14891, 2022‏
682022
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
652023
Hidden Incentives for Auto-Induced Distributional Shift‏
D Krueger, T Maharaj, J Leike‏
arXiv preprint arXiv:2009.09153, 2020‏
63*2020
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20