Visual Comparison of Images Using Multiple Kernel Learning for Ranking. - Amr Sharaf; Mohamed E. Hussein 001; Mohamed A. Ismail (BMVC, 2015)

Real-Time Multi-scale Action Detection from 3D Skeleton Data. - Amr Sharaf; Marwan Torki; Mohamed E. Hussein 001; Motaz El-Saban (WACV, 2015)

Structured Prediction via Learning to Search under Bandit Feedback. - Amr Sharaf; Hal Daumé III (SPNLP@EMNLP, 2017)

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. - Amr Sharaf; Shi Feng 005; Khanh Nguyen; Kianté Brantley; Hal Daumé III (WMT, 2017)

Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback. - Hal Daumé III; John Langford 001; Amr Sharaf (ICLR (Poster), 2018)

Cross-Lingual Approaches to Reference Resolution in Dialogue Systems. - Amr Sharaf; Arpit Gupta; Hancheng Ge; Chetan Naik; Lambert Mathias (CoRR, 2018)

Meta-Learning for Contextual Bandit Exploration. - Amr Sharaf; Hal Daumé III (CoRR, 2019)

Active Imitation Learning with Noisy Guidance. - Kianté Brantley; Hal Daumé III; Amr Sharaf (ACL, 2020)

Meta-Learning for Few-Shot NMT Adaptation. - Amr Sharaf; Hany Hassan; Hal Daumé III (NGT@ACL, 2020)

Random Network Distillation as a Diversity Metric for Both Image and Text Generation. - Liam Fowl; Micah Goldblum; Arjun Gupta; Amr Sharaf; Tom Goldstein (CoRR, 2020)

Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms. - Amr Sharaf (2020)

Meta-Learning Effective Exploration Strategies for Contextual Bandits. - Amr Sharaf; Hal Daumé III (AAAI, 2021)

Data Augmentation for Meta-Learning. - Renkun Ni; Micah Goldblum; Amr Sharaf; Kezhi Kong; Tom Goldstein (ICML, 2021)

Semi-Supervised Few-Shot Intent Classification and Slot Filling. - Samyadeep Basu; Karine lp Kiun Chong; Amr Sharaf; Alex Fischer; Vishal Rohra; Michael Amoake; Hazem El-Hammamy; Ehi Nosakhare; Vijay Ramani; Benjamin Han (CoRR, 2021)

On Hard Episodes in Meta-Learning. - Samyadeep Basu; Amr Sharaf; Nicolò Fusi; Soheil Feizi (CoRR, 2021)

Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints. - Amr Sharaf; Hal Daumé III; Renkun Ni (FAccT, 2022)

Leveraging GPT-4 for Automatic Translation Post-Editing. - Vikas Raunak; Amr Sharaf; Yiren Wang; Hany Hassan Awadalla; Arul Menezes (EMNLP (Findings), 2023)

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation. - Amr Hendy; Mohamed Abdelrehim; Amr Sharaf; Vikas Raunak; Mohamed Gabr; Hitokazu Matsushita; Young Jin Kim 001; Mohamed Afify; Hany Hassan Awadalla (CoRR, 2023)

Leveraging GPT-4 for Automatic Translation Post-Editing. - Vikas Raunak; Amr Sharaf; Hany Hassan Awadallah; Arul Menezes (CoRR, 2023)

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. - Haoran Xu; Young Jin Kim 001; Amr Sharaf; Hany Hassan Awadalla (ICLR, 2024)

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. - Haoran Xu; Amr Sharaf; Yunmo Chen; Weiting Tan; Lingfeng Shen; Benjamin Van Durme; Kenton Murray; Young Jin Kim 001 (ICML, 2024)