[论文解读] DeepMutation: Mutation Testing of Deep Learning Systems - 代码天地

[论文解读] DeepMutation: Mutation Testing of Deep Learning Systems

其他 2020-04-06 17:16:48 阅读次数: 0

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转载自blog.csdn.net/qq_33935895/article/details/105346363

[论文解读] DeepMutation: Mutation Testing of Deep Learning Systems

论文阅读：《Wide & Deep Learning for Recommender Systems》

论文阅读: Wide & Deep Learning for Recommender Systems

《Wide & Deep Learning for Recommender Systems》论文总结

Wide & Deep Learning for Recommender Systems【论文记录】

论文阅读：deepxplore:automated whitebox testing of deep learning system

《Wide and deep learning in Recommender Systems》论文阅读笔记

论文笔记 - Wide & Deep Learning for Recommender Systems

论文笔记之 Collaborative Deep Learning for Recommender Systems

Wide & Deep Learning for Recommender Systems 论文阅读总结

Deep Learning for Recommender Systems资料

Paper Reading:Wide & Deep Learning for Recommender Systems

Wide & Deep Learning for Recommender Systems 模型实践

Wide & Deep Learning for Recommender Systems 翻译

《Wide and Deep Learning for Recommender Systems》学习笔记

Model-Reuse Attacks on Deep Learning Systems

Playing Atari with Deep Reinforcement Learning论文解读

『论文阅读』A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

（转）Understanding Memory in Deep Learning Systems: The Neuroscience, Psychology and Technology Perspectives

推荐系统综述：A review on deep learning for recommender systems: challenges and remedies

Systems biology informed deep learning for inferring parameters and hidden dynamics

SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation论文解读

论文解读《Learning Deep CNN Denoiser Prior for Image Restoration》

Human-Level Control Through Deep Reinforcement Learning论文解读

[论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

《Deep Learning in Next-Frame Prediction：A Benchmark Review》论文解读

Deep Residual Learning for Image Recognition （ResNet）论文详细解读

《Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity》论文解读

Mutation Testing/Analysis 突变测试

[论文解读]Feature-Guided Black-Box Safety Testing of Deep Neural Networks

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