Publications | James Seale Smith

James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogerio Feris, Zsolt Kira. CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David Cox, Diyi Yang, Zsolt Kira, Rogerio Feris, Leonid Karlinsky. ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira. Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. International Conference on Computer Vision (ICCV), 2021.

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James Smith, Cameron Taylor, Seth Baer, Constantine Dovrolis. Unsupervised Progressive Learning and the STAM Architecture. International Joint Conference on Artificial Intelligent (IJCAI), 2021.

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James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira. Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. International Joint Conference on Neural Networks (IJCNN), 2021.

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