Motasem Alfarra

51 papers A* 9A 2Journal 33Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning.
Trans. Mach. Learn. Res.
Lama Alssum, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Juan Carlos León Alcázar, Bernard Ghanem
2025 J jnl
ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking.
CoRR
Shyma Alhuwaider, Motasem Alfarra, Juan C. Pérez, Merey Ramazanova, Bernard Ghanem
2025 J jnl
EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models.
CoRR
Andrés Villa, Juan León Alcázar, Motasem Alfarra, Vladimir Araujo, Alvaro Soto, Bernard Ghanem
2025 J jnl
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning.
CoRR
Lama Alssum, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Juan Carlos León Alcázar, Bernard Ghanem
2025 J jnl
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models.
CoRR
Julianna Piskorz, Cristina Pinneri, Alvaro H. C. Correia, Motasem Alfarra, Risheek Garrepalli, Christos Louizos
2025 A* conf
Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos.
ICLR
Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra
2025 J jnl
Test-Time Adaptation with Source Based Auxiliary Tasks.
Trans. Mach. Learn. Res.
Motasem Alfarra, Alvaro H. C. Correia, Bernard Ghanem, Christos Louizos
2025 — conf
Towards Faster and More Compact Foundation Models for Molecular Property Prediction.
CVPR Workshops
Yasir Ghunaim, Andrés Villa, Gergo Ignacz, Gyorgy Szekely, Motasem Alfarra, Bernard Ghanem
2025 J jnl
Towards Faster and More Compact Foundation Models for Molecular Property Prediction.
CoRR
Yasir Ghunaim, Andrés Villa, Gergo Ignacz, Gyorgy Szekely, Motasem Alfarra, Bernard Ghanem
2024 J jnl
Combating Missing Modalities in Egocentric Videos at Test Time.
CoRR
Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra
2024 J jnl
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision.
CoRR
Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Jesus Zarzar, Sara Rojas, Bernard Ghanem, Pablo Arbeláez
2024 A* conf
Evaluation of Test-Time Adaptation Under Computational Time Constraints.
ICML
Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan Camilo Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem
2024 — conf
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.
MICCAI (10)
Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi
2024 J jnl
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.
CoRR
Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi
2024 A* conf
SimCS: Simulation for Domain Incremental Online Continual Segmentation.
AAAI
Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller
2024 A* conf
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation.
ICML
Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem
2024 J jnl
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation.
CoRR
Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem
2023 J jnl
Generalizability of Adversarial Robustness Under Distribution Shifts.
Trans. Mach. Learn. Res.
Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem
2023 J jnl
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem
2023 — conf
Online Distillation with Continual Learning for Cyclic Domain Shifts.
CVPR Workshops
Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck
2023 J jnl
Online Distillation with Continual Learning for Cyclic Domain Shifts.
CoRR
Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck
2023 A* conf
PIVOT: Prompting for Video Continual Learning.
CVPR
Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem
2023 A* conf
Real-Time Evaluation in Online Continual Learning: A New Hope.
CVPR
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem
2023 J jnl
Real-Time Evaluation in Online Continual Learning: A New Paradigm.
CoRR
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem
2023 J jnl
Revisiting Test Time Adaptation under Online Evaluation.
CoRR
Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem
2023 — conf
Towards Characterizing the Semantic Robustness of Face Recognition.
CVPR Workshops
Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem
2022 A* conf
3DeformRS: Certifying Spatial Deformations on Point Clouds.
CVPR
Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem
2022 J jnl
3DeformRS: Certifying Spatial Deformations on Point Clouds.
CoRR
Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem
2022 J jnl
ANCER: Anisotropic Certification via Sample-wise Volume Maximization.
Trans. Mach. Learn. Res.
Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
2022 J jnl
Certified Robustness in Federated Learning.
CoRR
Motasem Alfarra, Juan C. Pérez, Egor Shulgin, Peter Richtárik, Bernard Ghanem
2022 A* conf
Combating Adversaries with Anti-adversaries.
AAAI
Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
2022 A conf
Data dependent randomized smoothing.
UAI
Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
2022 A* conf
DeformRS: Certifying Input Deformations with Randomized Smoothing.
AAAI
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem
2022 J jnl
Generalizability of Adversarial Robustness Under Distribution Shifts.
CoRR
Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem
2022 — conf
On the Robustness of Quality Measures for GANs.
ECCV (17)
Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem
2022 J jnl
On the Robustness of Quality Measures for GANs.
CoRR
Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem
2022 J jnl
PIVOT: Prompting for Video Continual Learning.
CoRR
Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem
2022 J jnl
SimCS: Simulation for Online Domain-Incremental Continual Segmentation.
CoRR
Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller
2022 J jnl
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition.
CoRR
Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem
2021 J jnl
ANCER: Anisotropic Certification via Sample-wise Volume Maximization.
CoRR
Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
2021 J jnl
Combating Adversaries with Anti-Adversaries.
CoRR
Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
2021 J jnl
DeformRS: Certifying Input Deformations with Randomized Smoothing.
CoRR
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem
2021 — conf
Enhancing Adversarial Robustness via Test-time Transformation Ensembling.
ICCVW
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez
2021 J jnl
Enhancing Adversarial Robustness via Test-time Transformation Ensembling.
CoRR
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez
2021 A conf
Rethinking Clustering for Robustness.
BMVC
Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem
2020 J jnl
Adaptive Learning of the Optimal Mini-Batch Size of SGD.
CoRR
Motasem Alfarra, Slavomír Hanzely, Alyazeed Albasyoni, Bernard Ghanem, Peter Richtárik
2020 J jnl
ClusTR: Clustering Training for Robustness.
CoRR
Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem
2020 J jnl
Data Dependent Randomized Smoothing.
CoRR
Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
2020 — conf
Gabor Layers Enhance Network Robustness.
ECCV (9)
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez
2020 J jnl
On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective.
CoRR
Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem
2019 J jnl
Robust Gabor Networks.
CoRR
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez