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02/02/2023
Target specific peptide design using latent space approximate trajectory collector
Despite the prevalence and many successes of deep learning applications ...
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10/03/2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Continual learning aims to alleviate catastrophic forgetting when handli...
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09/27/2022
Unsupervised Domain Adaptation with Histogram-gated Image Translation for Delayered IC Image Analysis
Deep learning has achieved great success in the challenging circuit anno...
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08/11/2022
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace
In this paper we develop a novel regularization method for deep neural n...
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10/18/2021
Boosting Image Outpainting with Semantic Layout Prediction
The objective of image outpainting is to extend image current border and...
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08/21/2021
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning
Task-free online continual learning aims to alleviate catastrophic forge...
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07/18/2021
A New Adaptive Gradient Method with Gradient Decomposition
Adaptive gradient methods, especially Adam-type methods (such as Adam, A...
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05/20/2021
Intra-Model Collaborative Learning of Neural Networks
Recently, collaborative learning proposed by Song and Chai has achieved ...
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03/05/2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
In topology optimization using deep learning, load and boundary conditio...
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06/18/2012