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Safa Messaoud
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2020 – today
- 2024
- [c6]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR 2024 - [i7]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR abs/2405.00987 (2024) - [i6]Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla:
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training. CoRR abs/2405.17130 (2024) - 2023
- [j2]Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla:
A3T: accuracy aware adversarial training. Mach. Learn. 112(9): 3191-3210 (2023) - [c5]Enes Altinisik, Hassan Sajjad, Husrev T. Sencar, Safa Messaoud, Sanjay Chawla:
Impact of Adversarial Training on Robustness and Generalizability of Language Models. ACL (Findings) 2023: 7828-7840 - 2022
- [i5]Enes Altinisik, Hassan Sajjad, Husrev Taha Sencar, Safa Messaoud, Sanjay Chawla:
Impact of Adversarial Training on Robustness and Generalizability of Language Models. CoRR abs/2211.05523 (2022) - [i4]Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla:
A3T: Accuracy Aware Adversarial Training. CoRR abs/2211.16316 (2022) - 2021
- [b1]Safa Messaoud:
Toward more scalable structured models. University of Illinois Urbana-Champaign, USA, 2021 - [c4]Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. SIGIR 2021: 1389-1399 - [i3]Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. CoRR abs/2105.06441 (2021) - 2020
- [c3]Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? CVPR Workshops 2020: 3313-3323 - [c2]Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? CVPR 2020: 7586-7596 - [i2]Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? CoRR abs/2005.01508 (2020)
2010 – 2019
- 2018
- [c1]Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. ECCV (6) 2018: 603-619 - [i1]Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. CoRR abs/1809.02129 (2018) - 2013
- [j1]Daniel Grundl, Xiaorui Zhang, Safa Messaoud, Cornelia Pfister, Franz Demmel, Mario S. Mommer, Bernhard Wolf, Martin Brischwein:
Reaction-diffusion modelling for microphysiometry on cellular specimens. Medical Biol. Eng. Comput. 51(4): 387-395 (2013)
Coauthor Index
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last updated on 2024-08-10 01:22 CEST by the dblp team
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