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Continual Learning is a burgeoning domain in next-generation AI, focusing on training neural networks over a sequence of tasks akin to human learning.
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Efficient lifelong learning with a-gem
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Remind your neural network to prevent catastrophic forgetting
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Hopfield networks is all you need
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Remembering for the right reasons: Explanations reduce catastrophic forgetting
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Learning to learn without forgetting by maximizing transfer and minimizing interference
M. Riemer, I. Cases, R. Ajemian, M. Liu, I. Rish, Y. Tu, and G. Tesauro · 2018
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Gradient based sample selection for online continual learning
R. Aljundi, M. Lin, B. Goujaud, and Y. Bengio · 2019
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On tiny episodic memories in continual learning
A. Chaudhry, M. Rohrbach, M. Elhoseiny, T. Ajanthan, P. K. Dokania, P. H. Torr, and M. Ranzato · 2019
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Continual lifelong learning with neural networks: A review
G. I. Parisi, R. Kemker, J. L. Part, C. Kanan, and S. Wermter · 2019
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Dark experience for general continual learning: a strong, simple baseline
P. Buzzega, M. Boschini, A. Porrello, D. Abati, and S. Calderara · 2020
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Image inpainting: A review
O. Elharrouss, N. Almaadeed, S. Al-Maadeed, and Y. Akbari · 2020
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Generating diverse structure for image inpainting with hierarchical vq-vae
J. Peng, D. Liu, S. Xu, and H. Li · 2021
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Associative memories via predictive coding
T. Salvatori, Y. Song, Y. Hong, L. Sha, S. Frieder, Z. Xu, R. Bogacz, and T. Lukasiewicz · 2021
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E. Arani, F. Sarfraz, and B. Zonooz · 2022
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Saliency-regularized deep multi-task learning
G. Bai and L. Zhao · 2022
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Res: A robust framework for guiding visual explanation
Y. Gao, T. S. Sun, G. Bai, S. Gu, S. R. Hong, and Z. Liang · 2022
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Bayespcn: A continually learnable predictive coding associative memory
J. Yoo and F. Wood · 2022
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Saliency-augmented memory completion for continual learning
G. Bai, C. Ling, Y. Gao, and L. Zhao · 2023
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Saliency guided experience packing for replay in continual learning
G. Saha and K. Roy · 2023
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