| Real-time multi-scale action detection from 3d skeleton data A Sharaf, M Torki, ME Hussein, M El-Saban 2015 IEEE Winter Conference on Applications of Computer Vision, 998-1005, 2015 | 65 | 2015 |
| Data augmentation for meta-learning R Ni, M Goldblum, A Sharaf, K Kong, T Goldstein International Conference on Machine Learning, 8152-8161, 2021 | 25 | 2021 |
| Meta-learning for few-shot NMT adaptation A Sharaf, H Hassan, H Daumé III arXiv preprint arXiv:2004.02745, 2020 | 18 | 2020 |
| Meta-learning for contextual bandit exploration A Sharaf, H Daumé III arXiv preprint arXiv:1901.08159, 2019 | 14 | 2019 |
| Structured prediction via learning to search under bandit feedback A Sharaf, H Daumé III Proceedings of the 2nd Workshop on Structured Prediction for Natural …, 2017 | 10 | 2017 |
| Active imitation learning with noisy guidance K Brantley, A Sharaf, H Daumé III arXiv preprint arXiv:2005.12801, 2020 | 8 | 2020 |
| Promoting fairness in learned models by learning to active learn under parity constraints A Sharaf, H Daume III, R Ni 2022 ACM Conference on Fairness, Accountability, and Transparency, 2149-2156, 2022 | 7 | 2022 |
| Residual loss prediction: Reinforcement learning with no incremental feedback H Daumé III, J Langford, A Sharaf International Conference on Learning Representations, 2018 | 5 | 2018 |
| The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task A Sharaf, S Feng, K Nguyen, K Brantley, H Daumé III arXiv preprint arXiv:1708.01318, 2017 | 4 | 2017 |
| Meta-Learning Effective Exploration Strategies for Contextual Bandits A Sharaf, H Daumé III Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9541-9548, 2021 | 1 | 2021 |
| Random network distillation as a diversity metric for both image and text generation L Fowl, M Goldblum, A Gupta, A Sharaf, T Goldstein arXiv preprint arXiv:2010.06715, 2020 | 1 | 2020 |
| Visual Comparison of Images Using Multiple Kernel Learning for Ranking. A Sharaf, ME Hussein, MA Ismail BMVC, 95.1-95.13, 2015 | 1 | 2015 |
| Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling S Basu, A Sharaf, KIK Chong, A Fischer, V Rohra, M Amoake, ... Proceedings of the Workshop on Structured and Unstructured Knowledge …, 2022 | | 2022 |
| On Hard Episodes in Meta-Learning S Basu, A Sharaf, N Fusi, S Feizi arXiv preprint arXiv:2110.11190, 2021 | | 2021 |
| A Flexible Measurement of Diversity in Datasets with Random Network Distillation LH Fowl, M Goldblum, A Gupta, A Sharaf, T Goldstein | | 2021 |
| Semi-Supervised Few-Shot Intent Classification and Slot Filling S Basu, A Sharaf, A Fischer, V Rohra, M Amoake, H El-Hammamy, ... arXiv preprint arXiv:2109.08754, 2021 | | 2021 |
| Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms AMNAA Sharaf University of Maryland, College Park, 2020 | | 2020 |
| Learning Effective Exploration Strategies For Contextual Bandits A Sharaf, H Daumé III | | 2019 |
| Cross-Lingual Approaches to Reference Resolution in Dialogue Systems A Sharaf, A Gupta, H Ge, C Naik, L Mathias arXiv preprint arXiv:1811.11161, 2018 | | 2018 |
| Learning to Search Better than Your Teacher A Sharaf, C Schumann, Z Zeng | | 2016 |
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
