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06/24/2020
Insights from the Future for Continual Learning
Continual learning aims to learn tasks sequentially, with (often severe)...
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04/28/2020
Small-Task Incremental Learning
Lifelong learning has attracted much attention, but existing works still...
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06/03/2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
In computer vision, disentangling techniques aim at improving latent rep...
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07/30/2018
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
In this paper, we introduce a new model for leveraging unlabeled data to...
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04/29/2018
SHARE: Regularization for Deep Learning
Regularization is a big issue for training deep neural networks. In this...
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04/29/2018
SHADE: Information-Based Regularization for Deep Learning
Regularization is a big issue for training deep neural networks. In this...
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10/18/2016