[论文解读]TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

时间 2021-01-12

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TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing 文章目录 TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing 简介摘要 Background 模糊过程组件实验结果 CGF可以有效地发现训练好的神经网络中的数值错误 CGF在模型

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1. TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
2. [论文解读] Concolic Testing for Deep Neural Networks
3. Distilling transformers into simple neural networks with unlabeled transfer data论文解读
4. SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS论文解读
5. 论文解读Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
6. [论文解读]SuperGlue: Learning Feature Matching with Graph Neural Networks
7. Weakly supervised object recognition with convolutional neural networks 论文解读
8. Deep Learning 论文解读——Session-based Recommendations with Recurrent Neural Networks
9. 论文解读-Bag of Tricks for Image Classification with Convolutional Neural Networks
10. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）

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