Amr Sharaf

According to our database, Amr Sharaf authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

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

CoRR, 2024

2023

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models.

Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla

CoRR, 2023

Leveraging GPT-4 for Automatic Translation Post-Editing.

Vikas Raunak, Amr Sharaf, Hany Hassan Awadallah, Arul Menezes

CoRR, 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, Mohamed Afify, Hany Hassan Awadalla

CoRR, 2023

Leveraging GPT-4 for Automatic Translation Post-Editing.

Vikas Raunak, Amr Sharaf, Yiren Wang, Hany Hassan Awadalla, Arul Menezes

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints.

Amr Sharaf, Hal Daumé III, Renkun Ni

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

On Hard Episodes in Meta-Learning.

Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi

CoRR, 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

Data Augmentation for Meta-Learning.

Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein

Proceedings of the 38th International Conference on Machine Learning, 2021

Meta-Learning Effective Exploration Strategies for Contextual Bandits.

Amr Sharaf, Hal Daumé III

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Meta-Learning for Few-Shot NMT Adaptation.

Amr Sharaf, Hany Hassan, Hal Daumé III

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

Active Imitation Learning with Noisy Guidance.

Kianté Brantley, Hal Daumé III, Amr Sharaf

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Meta-Learning for Contextual Bandit Exploration.

Amr Sharaf, Hal Daumé III

CoRR, 2019

2018

Cross-Lingual Approaches to Reference Resolution in Dialogue Systems.

Amr Sharaf, Arpit Gupta, Hancheng Ge, Chetan Naik, Lambert Mathias

CoRR, 2018

Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback.

Hal Daumé III, John Langford, Amr Sharaf

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task.

Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III

Proceedings of the Second Conference on Machine Translation, 2017

Structured Prediction via Learning to Search under Bandit Feedback.

Amr Sharaf, Hal Daumé III

Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

2015

Real-Time Multi-scale Action Detection from 3D Skeleton Data.

Amr Sharaf, Marwan Torki, Mohamed E. Hussein, Motaz El-Saban

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Visual Comparison of Images Using Multiple Kernel Learning for Ranking.

Amr Sharaf, Mohamed E. Hussein, Mohamed A. Ismail

Proceedings of the British Machine Vision Conference 2015, 2015