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forgetting [2018/09/13 04:16]
admin
forgetting [2019/01/16 12:20] (current)
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 We study two methods to prevent forgetting by leveraging these replays, namely joint training with replay and replay alignment. Qualitative and quantitative experimental results in MNIST, SVHN and LSUN datasets show that our memory replay approach can generate competitive images while significantly mitigating the forgetting of previous categories We study two methods to prevent forgetting by leveraging these replays, namely joint training with replay and replay alignment. Qualitative and quantitative experimental results in MNIST, SVHN and LSUN datasets show that our memory replay approach can generate competitive images while significantly mitigating the forgetting of previous categories
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 +https://​arxiv.org/​abs/​1711.09601 Memory Aware Synapses: Learning what (not) to forget
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 +https://​openreview.net/​forum?​id=H1lIzhC9FX Learning to remember: Dynamic Generative Memory for Continual Learning ​
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 +https://​openreview.net/​forum?​id=rJgz8sA5F7 HC-Net: Memory-based Incremental Dual-Network System for Continual learning ​
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 +https://​openreview.net/​forum?​id=BkloRs0qK7 A comprehensive,​ application-oriented study of catastrophic forgetting in DNNs
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 +https://​openreview.net/​forum?​id=ryGvcoA5YX Overcoming Catastrophic Forgetting via Model Adaptation ​
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 +http://​proceedings.mlr.press/​v80/​miconi18a.html Differentiable plasticity: training plastic neural networks with backpropagation