Hasan Hammoud

According to our database, Hasan Hammoud authored at least 23 papers between 2020 and 2024.

Collaborative distances:

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

2024

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation.

Grigory Malinovsky, Umberto Michieli, Hasan Abed Al Kader Hammoud, Taha Ceritli, Hayder Elesedy, Mete Ozay, Peter Richtárik

CoRR, 2024

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem

CoRR, 2024

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation.

Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch.

Hasan Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On Pretraining Data Diversity for Self-Supervised Learning.

Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2024, 2024

Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition.

Hasan Abed Al Kader Hammoud, Shuming Liu, Mohammed Alkhrashi, Fahad Albalawi, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective.

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Generalizability of Adversarial Robustness Under Distribution Shifts.

Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem

Trans. Mach. Learn. Res., 2023

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web.

Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip H. S. Torr, Adel Bibi

CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.

Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber

CoRR, 2023

CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society.

Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem

CoRR, 2023

Real-Time Evaluation in Online Continual Learning: A New Paradigm.

Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem

CoRR, 2023

Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition.

Hasan Abed Al Kader Hammoud, Shuming Liu, Mohammad Alkhrashi, Fahad Albalawi, Bernard Ghanem

CoRR, 2023

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?

Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Computationally Budgeted Continual Learning: What Does Matter?

Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs.

Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Real-Time Evaluation in Online Continual Learning: A New Hope.

Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies.

Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain.

Hasan Abed Al Kader Hammoud, Bernard Ghanem

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain.

Hasan Abed Al Kader Hammoud, Bernard Ghanem

CoRR, 2021

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning.

Guocheng Qian, Hasan Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective.

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem

CoRR, 2020