Rahaf Aljundi

According to our database, Rahaf Aljundi authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Continual Learning: Applications and the Road Forward.

Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven

Trans. Mach. Learn. Res., 2024

The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models.

Simone Caldarella, Massimiliano Mancini, Elisa Ricci, Rahaf Aljundi

CoRR, 2024

Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models.

Aristeidis Panos, Rahaf Aljundi, Daniel Olmeda Reino, Richard E. Turner

CoRR, 2024

Controlling Forgetting with Test-Time Data in Continual Learning.

Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky

CoRR, 2024

Annotation Free Semantic Segmentation with Vision Foundation Models.

Soroush Seifi, Daniel Olmeda Reino, Fabien Despinoy, Rahaf Aljundi

CoRR, 2024

OOD Aware Supervised Contrastive Learning.

Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards Improving Open-box Hallucination Detection in Large Language Models (LLMs).

Malavika Suresh, Rahaf Aljundi, Ikechukwu Nkisi-Orji, Nirmalie Wiratunga

Proceedings of the SICSA Workshop on Reasoning, 2024

Overcoming Generic Knowledge Loss with Selective Parameter Update.

Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny

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

2023

Incremental Object-Based Novelty Detection with Feedback Loop.

Simone Caldarella, Elisa Ricci, Rahaf Aljundi

CoRR, 2023

Overcoming General Knowledge Loss with Selective Parameter Finetuning.

Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny

CoRR, 2023

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning.

Nader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky

Proceedings of the International Conference on Machine Learning, 2023

Calibrated Out-of-Distribution Detection with a Generic Representation.

Tomás Vojír, Jan Sochman, Rahaf Aljundi, Jirí Matas

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

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning.

Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, Rahaf Aljundi, Richard E. Turner

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

Contrastive Classification and Representation Learning with Probabilistic Interpretation.

Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Continual Learning Survey: Defying Forgetting in Classification Tasks.

Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning.

Paul Janson, Wenxuan Zhang, Rahaf Aljundi, Mohamed Elhoseiny

CoRR, 2022

Identifying Wrongly Predicted Samples: A Method for Active Learning.

Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky

Proceedings of the Tenth International Conference on Learning Representations, 2022

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning.

MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Novelty Detection.

Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Reducing Representation Drift in Online Continual Learning.

Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky

CoRR, 2021

Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling.

Tomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection.

Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Continual Learning in Neural Networks.

Rahaf Aljundi

CoRR, 2019

Continual learning: A comparative study on how to defy forgetting in classification tasks.

Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars

CoRR, 2019

Online Continual Learning with Maximally Interfered Retrieval.

Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars

CoRR, 2019

Online continual learning with no task boundaries.

Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

CoRR, 2019

Gradient based sample selection for online continual learning.

Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Continual Learning with Maximal Interfered Retrieval.

Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Selfless Sequential Learning.

Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars

Proceedings of the 7th International Conference on Learning Representations, 2019

Task-Free Continual Learning.

Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Memory Aware Synapses: Learning What (not) to Forget.

Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars

Proceedings of the Computer Vision - ECCV 2018, 2018

Exploring the Challenges Towards Lifelong Fact Learning.

Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Unsupervised Domain Adaptation Based on Subspace Alignment.

Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Encoder Based Lifelong Learning.

Amal Rannen Triki, Rahaf Aljundi, Matthew B. Blaschko, Tinne Tuytelaars

Proceedings of the IEEE International Conference on Computer Vision, 2017

Expert Gate: Lifelong Learning with a Network of Experts.

Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction.

Rahaf Aljundi, Tinne Tuytelaars

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images.

Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases.

Rahaf Aljundi, Jérôme Lehaire, Fabrice Prost-Boucle, Olivier Rouvière, Carole Lartizien

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

Landmarks-based kernelized subspace alignment for unsupervised domain adaptation.

Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015