Oliver Zhang

According to our database, Oliver Zhang authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

CoRR, 2024

2023

MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding.

Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Temperature as Uncertainty in Contrastive Learning.

Oliver Zhang, Mike Wu, Jasmine Bayrooti, Noah D. Goodman

CoRR, 2021

Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment.

Oliver Zhang, Cheng Ding, Tânia Pereira, Ran Xiao, Kais Gadhoumi, Karl Meisel, Randall J. Lee, Yiran Chen, Xiao Hu

IEEE Access, 2021

Out of Distribution Detection for Medical Images.

Oliver Zhang, Jean-Benoit Delbrouck, Daniel L. Rubin

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2019

Optimal Transport Based Generative Autoencoders.

Oliver Zhang, Ruei-Sung Lin, Yuchuan Gou

CoRR, 2019