Rahaf Aljundi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Lifelong Learning

Probabilistic Interpretation

General Knowledge

Novelty Detection

Top Venues

Publications

Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi
OOD Aware Supervised Contrastive Learning. WACV (2024)
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
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)
Aristeidis Panos, Rahaf Aljundi, Daniel Olmeda Reino, Richard E. Turner
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models. CoRR (2024)
Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
Controlling Forgetting with Test-Time Data in Continual Learning. CoRR (2024)
Soroush Seifi, Daniel Olmeda Reino, Fabien Despinoy, Rahaf Aljundi
Annotation Free Semantic Segmentation with Vision Foundation Models. CoRR (2024)
Nader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. CoRR (2023)
Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi
OOD Aware Supervised Contrastive Learning. CoRR (2023)
Nader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. ICML (2023)
Tomás Vojír, Jan Sochman, Rahaf Aljundi, Jirí Matas
Calibrated Out-of-Distribution Detection with a Generic Representation. ICCV (Workshops) (2023)
Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny
Overcoming General Knowledge Loss with Selective Parameter Finetuning. CoRR (2023)
Tomas Vojir, Jan Sochman, Rahaf Aljundi, Jiri Matas
Calibrated Out-of-Distribution Detection with a Generic Representation. CoRR (2023)
Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino
Contrastive Classification and Representation Learning with Probabilistic Interpretation. AAAI (2023)
Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, Rahaf Aljundi, Richard E. Turner
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning. ICCV (2023)
Simone Caldarella, Elisa Ricci, Rahaf Aljundi
Incremental Object-Based Novelty Detection with Feedback Loop. CoRR (2023)
Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, Rahaf Aljundi, Richard E. Turner
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning. CoRR (2023)
Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino
Identifying Wrongly Predicted Samples: A Method for Active Learning. WACV (2022)
MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. CVPR (2022)
Paul Janson, Wenxuan Zhang, Rahaf Aljundi, Mohamed Elhoseiny
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning. CoRR (2022)
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner
Continual Novelty Detection. CoLLAs (2022)
Rahaf Aljundi, Yash Patel, Milan Sulc, Daniel Olmeda Reino, Nikolay Chumerin
Contrastive Classification and Representation Learning with Probabilistic Interpretation. CoRR (2022)
MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. CoRR (2022)
Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
New Insights on Reducing Abrupt Representation Change in Online Continual Learning. ICLR (2022)
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Tomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas
Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling. ICCV (2021)
Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. CoRR (2021)
Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. ICCV (2021)
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
Reducing Representation Drift in Online Continual Learning. CoRR (2021)
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner
Continual Novelty Detection. CoRR (2021)
Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino
Identifying Wrongly Predicted Samples: A Method for Active Learning. CoRR (2020)
Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia
Online Continual Learning with Maximal Interfered Retrieval. NeurIPS (2019)
Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
Selfless Sequential Learning. ICLR (Poster) (2019)
Rahaf Aljundi
Continual Learning in Neural Networks. CoRR (2019)
Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio
Online continual learning with no task boundaries. CoRR (2019)
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
Task-Free Continual Learning. CVPR (2019)
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars
Online Continual Learning with Maximally Interfered Retrieval. CoRR (2019)
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
Continual learning: A comparative study on how to defy forgetting in classification tasks. CoRR (2019)
Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio
Gradient based sample selection for online continual learning. NeurIPS (2019)
Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
Selfless Sequential Learning. CoRR (2018)
Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars
Exploring the Challenges Towards Lifelong Fact Learning. ACCV (6) (2018)
Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars
Exploring the Challenges towards Lifelong Fact Learning. CoRR (2018)
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars
Memory Aware Synapses: Learning What (not) to Forget. ECCV (3) (2018)
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
Task-Free Continual Learning. CoRR (2018)
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
Expert Gate: Lifelong Learning with a Network of Experts. CVPR (2017)
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars
Memory Aware Synapses: Learning what (not) to forget. CoRR (2017)
Amal Rannen Triki, Rahaf Aljundi, Matthew B. Blaschko, Tinne Tuytelaars
Encoder Based Lifelong Learning. CoRR (2017)
Amal Rannen Triki, Rahaf Aljundi, Matthew B. Blaschko, Tinne Tuytelaars
Encoder Based Lifelong Learning. ICCV (2017)
Rahaf Aljundi, Tinne Tuytelaars
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction. CoRR (2016)
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
Expert Gate: Lifelong Learning with a Network of Experts. CoRR (2016)
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images. ACCV (3) (2016)
Rahaf Aljundi, Tinne Tuytelaars
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction. ECCV Workshops (3) (2016)
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images. CoRR (2016)
Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. CVPR (2015)
Rahaf Aljundi, Jérôme Lehaire, Fabrice Prost-Boucle, Olivier Rouvière, Carole Lartizien
Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases. MLMMI@ICML (2015)