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08/04/2023
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise
Class activation maps are widely used for explaining deep neural network...
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07/18/2023
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics
Online segmentation of laser-induced damage on large-aperture optics in ...
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05/09/2023
Effective Medical Code Prediction via Label Internal Alignment
The clinical notes are usually typed into the system by physicians. They...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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07/09/2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning
Model-Agnostic Meta-Learning (MAML) is a famous few-shot learning method...
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10/14/2021
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation
Recently, the interpretability of deep learning has attracted a lot of a...
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05/17/2021
How to Explain Neural Networks: A perspective of data space division
Interpretability of intelligent algorithms represented by deep learning ...
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05/12/2021
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
Recent trend towards increasing large machine learning models require bo...
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02/17/2021
