Shixian Wen | DeepAI

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∙ 05/24/2023

Lightweight Learner for Shared Knowledge Lifelong Learning

In Lifelong Learning (LL), agents continually learn as they encounter ne...

0 Yunhao Ge, et al. ∙

∙ 11/30/2022

Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines

Field Programmable Gate Array (FPGA) is widely used in acceleration of d...

0 Yixin Xu, et al. ∙

∙ 01/20/2022

What can we learn from misclassified ImageNet images?

Understanding the patterns of misclassified ImageNet images is particula...

22 Shixian Wen, et al. ∙

∙ 09/27/2020

Beneficial Perturbations Network for Defending Adversarial Examples

Adversarial training, in which a network is trained on both adversarial ...

0 Shixian Wen, et al. ∙

∙ 09/27/2020

Beneficial Perturbation Network for designing general adaptive artificial intelligence systems

The human brain is the gold standard of adaptive learning. It not only c...

11 Shixian Wen, et al. ∙

∙ 10/09/2019

Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system

Adversarial training, in which a network is trained on both adversarial ...

0 Shixian Wen, et al. ∙

∙ 06/22/2019

Beneficial perturbation network for continual learning

Sequential learning of multiple tasks in artificial neural networks usin...

0 Shixian Wen, et al. ∙

∙ 05/18/2018

Overcoming catastrophic forgetting problem by weight consolidation and long-term memory

Sequential learning of multiple tasks in artificial neural networks usin...

0 Shixian Wen, et al. ∙

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