Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. - Rahaf Aljundi; Rémi Emonet; Damien Muselet; Marc Sebban (CVPR, 2015)

Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases. - Rahaf Aljundi; Jérôme Lehaire; Fabrice Prost-Boucle; Olivier Rouvière; Carole Lartizien (MLMMI@ICML, 2015)

Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images. - Rahaf Aljundi; Punarjay Chakravarty; Tinne Tuytelaars (ACCV (3), 2016)

Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction. - Rahaf Aljundi; Tinne Tuytelaars (ECCV Workshops (3), 2016)

Expert Gate: Lifelong Learning with a Network of Experts. - Rahaf Aljundi; Punarjay Chakravarty; Tinne Tuytelaars (CVPR, 2017)

Encoder Based Lifelong Learning. - Amal Rannen Triki; Rahaf Aljundi; Matthew B. Blaschko; Tinne Tuytelaars (ICCV, 2017)

Unsupervised Domain Adaptation Based on Subspace Alignment. - Basura Fernando; Rahaf Aljundi; Rémi Emonet; Amaury Habrard; Marc Sebban; Tinne Tuytelaars (Domain Adaptation in Computer Vision Applications, 2017)

Exploring the Challenges Towards Lifelong Fact Learning. - Mohamed Elhoseiny; Francesca Babiloni; Rahaf Aljundi; Marcus Rohrbach; Manohar Paluri; Tinne Tuytelaars (ACCV (6), 2018)

Memory Aware Synapses: Learning What (not) to Forget. - Rahaf Aljundi; Francesca Babiloni; Mohamed Elhoseiny; Marcus Rohrbach; Tinne Tuytelaars (ECCV (3), 2018)

Task-Free Continual Learning. - Rahaf Aljundi; Klaas Kelchtermans; Tinne Tuytelaars (CVPR, 2019)

Selfless Sequential Learning. - Rahaf Aljundi; Marcus Rohrbach; Tinne Tuytelaars (ICLR (Poster), 2019)

Online Continual Learning with Maximal Interfered Retrieval. - Rahaf Aljundi; Eugene Belilovsky; Tinne Tuytelaars; Laurent Charlin; Massimo Caccia; Min Lin; Lucas Page-Caccia (NeurIPS, 2019)

Gradient based sample selection for online continual learning. - Rahaf Aljundi; Min Lin; Baptiste Goujaud; Yoshua Bengio (NeurIPS, 2019)

Online continual learning with no task boundaries. - Rahaf Aljundi; Min Lin; Baptiste Goujaud; Yoshua Bengio (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)

Continual learning: A comparative study on how to defy forgetting in classification tasks. - Matthias De Lange; Rahaf Aljundi; Marc Masana; Sarah Parisot; Xu Jia 012; Ales Leonardis; Gregory G. Slabaugh; Tinne Tuytelaars (CoRR, 2019)

Continual Learning in Neural Networks. - Rahaf Aljundi (CoRR, 2019)

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. - Farzaneh Rezaeianaran; Rakshith Shetty; Rahaf Aljundi; Daniel Olmeda Reino; Shanshan Zhang 001; Bernt Schiele (ICCV, 2021)

Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling. - Tomas Vojir; Tomás Sipka; Rahaf Aljundi; Nikolay Chumerin; Daniel Olmeda Reino; Jiri Matas (ICCV, 2021)

Reducing Representation Drift in Online Continual Learning. - Lucas Caccia; Rahaf Aljundi; Tinne Tuytelaars; Joelle Pineau; Eugene Belilovsky (CoRR, 2021)

Continual Novelty Detection. - Rahaf Aljundi; Daniel Olmeda Reino; Nikolay Chumerin; Richard E. Turner (CoLLAs, 2022)

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. - MohammadReza Davari; Nader Asadi; Sudhir P. Mudur; Rahaf Aljundi; Eugene Belilovsky (CVPR, 2022)

New Insights on Reducing Abrupt Representation Change in Online Continual Learning. - Lucas Caccia; Rahaf Aljundi; Nader Asadi; Tinne Tuytelaars; Joelle Pineau; Eugene Belilovsky (ICLR, 2022)

Identifying Wrongly Predicted Samples: A Method for Active Learning. - Rahaf Aljundi; Nikolay Chumerin; Daniel Olmeda Reino (WACV, 2022)

A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning. - Paul Janson; Wenxuan Zhang 001; Rahaf Aljundi; Mohamed Elhoseiny (CoRR, 2022)

A Continual Learning Survey: Defying Forgetting in Classification Tasks. - Matthias De Lange; Rahaf Aljundi; Marc Masana; Sarah Parisot; Xu Jia 012; Ales Leonardis; Gregory G. Slabaugh; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Contrastive Classification and Representation Learning with Probabilistic Interpretation. - Rahaf Aljundi; Yash Patel; Milan Sulc; Nikolay Chumerin; Daniel Olmeda Reino (AAAI, 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 (ICCV, 2023)

Calibrated Out-of-Distribution Detection with a Generic Representation. - Tomás Vojír; Jan Sochman; Rahaf Aljundi; Jirí Matas (ICCV (Workshops), 2023)

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. - Nader Asadi; MohammadReza Davari; Sudhir P. Mudur; Rahaf Aljundi; Eugene Belilovsky (ICML, 2023)

Overcoming General Knowledge Loss with Selective Parameter Finetuning. - Wenxuan Zhang 001; Paul Janson; Rahaf Aljundi; Mohamed Elhoseiny (CoRR, 2023)

Incremental Object-Based Novelty Detection with Feedback Loop. - Simone Caldarella; Elisa Ricci 001; Rahaf Aljundi (CoRR, 2023)

Overcoming Generic Knowledge Loss with Selective Parameter Update. - Wenxuan Zhang 001; Paul Janson; Rahaf Aljundi; Mohamed Elhoseiny (CVPR, 2024)

The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models. - Simone Caldarella; Massimiliano Mancini; Elisa Ricci 001; Rahaf Aljundi (ECCV Workshops (21), 2024)

Towards Improving Open-box Hallucination Detection in Large Language Models (LLMs). - Malavika Suresh; Rahaf Aljundi; Ikechukwu Nkisi-Orji; Nirmalie Wiratunga (SICSA REALLM, 2024)

OOD Aware Supervised Contrastive Learning. - Soroush Seifi; Daniel Olmeda Reino; Nikolay Chumerin; Rahaf Aljundi (WACV, 2024)

Annotation Free Semantic Segmentation with Vision Foundation Models. - Soroush Seifi; Daniel Olmeda Reino; Fabien Despinoy; Rahaf Aljundi (CoRR, 2024)

Controlling Forgetting with Test-Time Data in Continual Learning. - Vaibhav Singh; Rahaf Aljundi; Eugene Belilovsky (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)

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; et al. (Trans. Mach. Learn. Res., 2024)

Personalization Toolkit: Training Free Personalization of Large Vision Language Models. - Soroush Seifi; Vaggelis Dorovatas; Daniel Olmeda Reino; Rahaf Aljundi (CoRR, 2025)

Efficient Few-Shot Continual Learning in Vision-Language Models. - Aristeidis Panos; Rahaf Aljundi; Daniel Olmeda Reino; Richard E. Turner (CoRR, 2025)