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Andrew D. Bagdanov

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Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning

Feb 06, 2024
Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov

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Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation

Dec 19, 2023
Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov

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Class Incremental Learning with Pre-trained Vision-Language Models

Oct 31, 2023
Xialei Liu, Xusheng Cao, Haori Lu, Jia-wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng

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Masked Autoencoders are Efficient Class Incremental Learners

Aug 24, 2023
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

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Robust Saliency Guidance for Data-free Class Incremental Learning

Dec 16, 2022
Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

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Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers

Nov 22, 2022
Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer

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Long-Tailed Class Incremental Learning

Oct 01, 2022
Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

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Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning

Aug 19, 2022
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén

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CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories

Feb 21, 2022
Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov

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