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Alexander Lyzhov
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2020 – today
- 2024
- [i5]Asa Cooper Stickland, Alexander Lyzhov, Jacob Pfau, Salsabila Mahdi, Samuel R. Bowman:
Steering Without Side Effects: Improving Post-Deployment Control of Language Models. CoRR abs/2406.15518 (2024) - 2023
- [j1]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023) - [i4]Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez:
Inverse Scaling: When Bigger Isn't Better. CoRR abs/2306.09479 (2023) - 2021
- [i3]Julian Stastny, Maxime Riché, Alexander Lyzhov, Johannes Treutlein, Allan Dafoe, Jesse Clifton:
Normative Disagreement as a Challenge for Cooperative AI. CoRR abs/2111.13872 (2021) - 2020
- [c2]Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov:
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. ICLR 2020 - [c1]Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha
, Dmitry Molchanov, Dmitry P. Vetrov:
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation. UAI 2020: 1308-1317 - [i2]Arsenii Ashukha
, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov:
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. CoRR abs/2002.06470 (2020) - [i1]Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha
, Dmitry P. Vetrov:
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation. CoRR abs/2002.09103 (2020)
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