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Manifold learning to address catastrophic forgetting
Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing, 2021Prathyusha Akundi, Jayanthi Sivaswamy
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Overcoming Catastrophic Forgetting with Self-adaptive Identifiers
2018Catastrophic forgetting is a tough issue when the agent faces the sequential multi-task learning scenario without storing previous task information. It gradually becomes an obstacle to achieve artificial general intelligence which is generally believed to behave like a human with continuous learning capability.
Fangzhou Xiong +2 more
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Mitigate Catastrophic Forgetting by Varying Goals
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020Lu Chen 0006, Masayuki Murata 0001
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Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting [PDF]
Proceedings of the British Machine Vision Conference 2021, 2021 Karttikeya Mangalam, Rohin Garg
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Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting
Neurocomputing, 2021Brendan McCane, Anthony Robins
exaly
The Role Weights Play in Catastrophic Forgetting
2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2021openaire +1 more source
Overcoming Forgetting Catastrophe in Quantization-Aware Training
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023Ting-An Chen +2 more
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Catastrophic Forgetting in Continual Concept Bottleneck Models
Lecture Notes in Computer Science, 2022Emanuele Marconato +2 more
exaly
Adaptive trajectory prediction without catastrophic forgetting
The Journal of Supercomputing, 2023Chunyu Zhi, Huaijiang Sun, Tian Xu
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