1 code implementation • 2 May 2024 • Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
We derive a closed-form expression of the entropy of such policies.
no code implementations • 29 Nov 2022 • Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla
Adversarial training has been empirically shown to be more prone to overfitting than standard training.
no code implementations • 10 Nov 2022 • Enes Altinisik, Hassan Sajjad, Husrev Taha Sencar, Safa Messaoud, Sanjay Chawla
Specifically, we study the effect of pre-training data augmentation as well as training time input perturbations vs. embedding space perturbations on the robustness and generalization of transformer-based language models.
no code implementations • 13 May 2021 • Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content.
no code implementations • CVPR 2020 • Safa Messaoud, Maghav Kumar, Alexander G. Schwing
In this paper, we show that we can learn program heuristics, i. e., policies, for solving inference in higher order CRFs for the task of semantic segmentation, using reinforcement learning.
no code implementations • ECCV 2018 • Safa Messaoud, David Forsyth, Alexander G. Schwing
Colorizing a given gray-level image is an important task in the media and advertising industry.