David Tao

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 4

Top Topics

Direct Policy Search

Reinforcement Learning

Top Venues

J. Open Source Softw.

Publications

Kurt Thomas, Patrick Gage Kelley, David Tao, Sarah Meiklejohn, Owen Vallis, Shunwen Tan, Blaz Bratanic, Felipe Tiengo Ferreira, Vijay Kumar Eranti, Elie Bursztein
Supporting Human Raters with the Detection of Harmful Content using Large Language Models. CoRR (2024)
Enze Liu, George Kappos, Eric Mugnier, Luca Invernizzi, Stefan Savage, David Tao, Kurt Thomas, Geoffrey M. Voelker, Sarah Meiklejohn
Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates. CoRR (2024)
Fabian Kaczmarczyck, Bernhard Grill, Luca Invernizzi, Jennifer Pullman, Cecilia M. Procopiuc, David Tao, Borbala Benko, Elie Bursztein
Spotlight: Malware Lead Generation at Scale. ACSAC (2020)
Bryan M. Li, Alexander Imani Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez
RL: Generic reinforcement learning codebase in TensorFlow. J. Open Source Softw. 4 (42) (2019)
Shobha Phansalkar, George A. Robinson, George Getty, James Shalaby, David Tao, Carol A. Broverman
Challenges in Exchanging Medication Information: Identifying Gaps in Clinical Document Exchange and Terminology Standards. AMIA (2009)
Fred Douglis, John Palmer, Elizabeth S. Richards, David Tao, William H. Tetzlaff, John M. Tracey, Jian Yin
Position: short object lifetimes require a delete-optimized storage system. ACM SIGOPS European Workshop (2004)
David Tao, Mark Yasuda
A Spectral Characterization of Generalized Real Symmetric Centrosymmetric and Generalized Real Symmetric Skew-Centrosymmetric Matrices. SIAM J. Matrix Anal. Appl. 23 (3) (2002)