I am a Research Scientist at Facebook AI, contributing to conversational AI research. My current research interests include reinforcement learning, meta-learning, adversarial learning, federated learning, and privacy/fairness in machine learning. I received the BS degree in 2007 from Sharif University of Technology, Iran, and the PhD degree in 2014 from the Georgia Institute of Technology, in electrical and computer engineering. I am the recipient of the 2015 Sigma Xi Best PhD Thesis Award from Georgia Tech.
Latest Publications
ACL - October 1, 2021
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur
IEEE Access Journal (IEEE Access) - August 1, 2021
Coded Machine Unlearning
Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
ICLR - May 7, 2021
Tilted Empirical Risk Minimization
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
Security and Safety in Machine Learning Systems Workshop at ICLR - May 7, 2021
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
Scalability, Privacy, and Security in Federated Learning Workshop at NeurIPS - December 11, 2020
Federated Multi-Task Learning for Competing Constraints
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
COLING - December 8, 2020
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
COLING - December 8, 2020
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard
Uncertainty and Robustness in Deep Learning Workshop at ICML - August 1, 2020
Tilted Empirical Risk Minimization
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
ICLR - February 14, 2020
Fair Resource Allocation in Federated Learning
Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith