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ORCIDRahaf Aljundi
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2020 – today
- 2024
[j2]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)- [c25]Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny:
Overcoming Generic Knowledge Loss with Selective Parameter Update. CVPR 2024: 24046-24056 - [c24]Malavika Suresh, Rahaf Aljundi, Ikechukwu Nkisi-Orji, Nirmalie Wiratunga:
Towards Improving Open-box Hallucination Detection in Large Language Models (LLMs). SICSA REALLM 2024: 1-10 - [c23]Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi:
OOD Aware Supervised Contrastive Learning. WACV 2024: 1945-1955 - [i30]Soroush Seifi, Daniel Olmeda Reino, Fabien Despinoy, Rahaf Aljundi:
Annotation Free Semantic Segmentation with Vision Foundation Models. CoRR abs/2403.09307 (2024) - [i29]Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky:
Controlling Forgetting with Test-Time Data in Continual Learning. CoRR abs/2406.13653 (2024) - [i28]Aristeidis Panos, Rahaf Aljundi, Daniel Olmeda Reino, Richard E. Turner:
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models. CoRR abs/2407.16526 (2024) - [i27]Simone Caldarella, Massimiliano Mancini, Elisa Ricci, Rahaf Aljundi:
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models. CoRR abs/2408.01228 (2024) - 2023
- [c22]Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. AAAI 2023: 6675-6683 - [c21]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: 18774-18784 - [c20]Tomás Vojír, Jan Sochman, Rahaf Aljundi, Jirí Matas:
Calibrated Out-of-Distribution Detection with a Generic Representation. ICCV (Workshops) 2023: 4509-4518 - [c19]Nader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky:
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. ICML 2023: 1093-1106 - [i26]Tomas Vojir, Jan Sochman, Rahaf Aljundi, Jiri Matas:
Calibrated Out-of-Distribution Detection with a Generic Representation. CoRR abs/2303.13148 (2023) - [i25]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 abs/2303.13199 (2023) - [i24]Nader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky:
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. CoRR abs/2303.14771 (2023) - [i23]Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny:
Overcoming General Knowledge Loss with Selective Parameter Finetuning. CoRR abs/2308.12462 (2023) - [i22]Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi:
OOD Aware Supervised Contrastive Learning. CoRR abs/2310.01942 (2023) - [i21]Simone Caldarella, Elisa Ricci, Rahaf Aljundi:
Incremental Object-Based Novelty Detection with Feedback Loop. CoRR abs/2311.09004 (2023) - [i20]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. CoRR abs/2311.11908 (2023) - 2022
- [j1]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): 3366-3385 (2022) - [c18]Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner:
Continual Novelty Detection. CoLLAs 2022: 1004-1025 - [c17]MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky:
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. CVPR 2022: 16691-16700 - [c16]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 - [c15]Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino:
Identifying Wrongly Predicted Samples: A Method for Active Learning. WACV 2022: 2071-2079 - [i19]MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky:
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. CoRR abs/2203.13381 (2022) - [i18]Paul Janson, Wenxuan Zhang, Rahaf Aljundi, Mohamed Elhoseiny:
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning. CoRR abs/2210.04428 (2022) - [i17]Rahaf Aljundi, Yash Patel, Milan Sulc, Daniel Olmeda Reino, Nikolay Chumerin:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. CoRR abs/2211.03646 (2022) - 2021
- [c14]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: 9184-9193 - [c13]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: 15631-15640 - [i16]Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky:
Reducing Representation Drift in Online Continual Learning. CoRR abs/2104.05025 (2021) - [i15]Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner:
Continual Novelty Detection. CoRR abs/2106.12964 (2021) - [i14]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 abs/2110.01428 (2021) - 2020
- [i13]Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino:
Identifying Wrongly Predicted Samples: A Method for Active Learning. CoRR abs/2010.06890 (2020)
2010 – 2019
- 2019
- [c12]Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars:
Task-Free Continual Learning. CVPR 2019: 11254-11263 - [c11]Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars:
Selfless Sequential Learning. ICLR (Poster) 2019 - [c10]Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio:
Gradient based sample selection for online continual learning. NeurIPS 2019: 11816-11825 - [c9]Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia:
Online Continual Learning with Maximal Interfered Retrieval. NeurIPS 2019: 11849-11860 - [i12]Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio:
Online continual learning with no task boundaries. CoRR abs/1903.08671 (2019) - [i11]Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars:
Online Continual Learning with Maximally Interfered Retrieval. CoRR abs/1908.04742 (2019) - [i10]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 abs/1909.08383 (2019) - [i9]Rahaf Aljundi:
Continual Learning in Neural Networks. CoRR abs/1910.02718 (2019) - 2018
- [c8]Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges Towards Lifelong Fact Learning. ACCV (6) 2018: 66-84 - [c7]Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars:
Memory Aware Synapses: Learning What (not) to Forget. ECCV (3) 2018: 144-161 - [i8]Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars:
Selfless Sequential Learning. CoRR abs/1806.05421 (2018) - [i7]Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars:
Task-Free Continual Learning. CoRR abs/1812.03596 (2018) - [i6]Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges towards Lifelong Fact Learning. CoRR abs/1812.10524 (2018) - 2017
- [c6]Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars:
Expert Gate: Lifelong Learning with a Network of Experts. CVPR 2017: 7120-7129 - [c5]Amal Rannen Triki, Rahaf Aljundi, Matthew B. Blaschko, Tinne Tuytelaars:
Encoder Based Lifelong Learning. ICCV 2017: 1329-1337 - [p1]Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars:
Unsupervised Domain Adaptation Based on Subspace Alignment. Domain Adaptation in Computer Vision Applications 2017: 81-94 - [i5]Amal Rannen Triki, Rahaf Aljundi, Matthew B. Blaschko, Tinne Tuytelaars:
Encoder Based Lifelong Learning. CoRR abs/1704.01920 (2017) - [i4]Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars:
Memory Aware Synapses: Learning what (not) to forget. CoRR abs/1711.09601 (2017) - 2016
- [c4]Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars:
Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images. ACCV (3) 2016: 467-483 - [c3]Rahaf Aljundi, Tinne Tuytelaars:
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction. ECCV Workshops (3) 2016: 508-515 - [i3]Rahaf Aljundi, Tinne Tuytelaars:
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction. CoRR abs/1603.07234 (2016) - [i2]Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars:
Expert Gate: Lifelong Learning with a Network of Experts. CoRR abs/1611.06194 (2016) - [i1]Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars:
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images. CoRR abs/1611.09162 (2016) - 2015
- [c2]Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban:
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation. CVPR 2015: 56-63 - [c1]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: 74-82
Coauthor Index
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last updated on 2024-12-05 21:40 CET by the dblp team
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