Ahmad Beirami
Menlo Park, United States
Ahmad is a Research Scientist at Facebook AI, contributing to conversational AI research. His current research interests include reinforcement learning, meta-learning, adversarial learning, federated learning, and privacy/fairness in machine learning. He received his BS degree in 2007 from Sharif University of Technology, Iran, and his PhD degree in 2014 from the Georgia Institute of Technology, in electrical and computer engineering. Ahmad is the recipient of the 2015 Sigma Xi Best PhD Thesis Award from Georgia Tech.
Research Areas
Ahmad's Work
Ahmad's Publications
May 07, 2021
RESEARCH
SYSTEMS RESEARCH
Ditto: Fair and robust federated learning through personalization
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
May 07, 2021
December 11, 2020
RESEARCH
CORE MACHINE LEARNING
Federated Multi-Task Learning for Competing Constraints
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
December 11, 2020
December 08, 2020
CONVERSATIONAL AI
NLP
Situated and Interactive Multimodal Conversations
Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami , Eunjoon Cho, Rajen Subba, Alborz Geramifard
December 08, 2020
December 08, 2020
CONVERSATIONAL AI
NLP
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
Zhenpeng Zhou, Ahmad Beirami Paul Crook, Pararth Shah, Rajen Subba, Alborz Geramifard
December 08, 2020
May 07, 2021
CORE MACHINE LEARNING
THEORY
Tilted Empirical Risk Minimization
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
May 07, 2021
February 14, 2020
RESEARCH
Fair Resource Allocation in Federated Learning
Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith,
February 14, 2020
