No | Date | C/J | Title | Code | Reference | Output |
---|---|---|---|---|---|---|
1 | 2019.07.22 | arXiv:1906.10742 [cs, stat] | Machine Learning Testing: Survey, Landscapes and Horizons | portal | note、ppt | |
2 | 2019.08.06 | arXiv:1809.06839 [cs] | Albumentations: fast and flexible image augmentations | portal | portal | note、report |
3 | 2019.08.13 | arXiv:1907.10327 [cs] | Towards Logical Specification of Statistical Machine Learning | portal | note、ppt | |
4 | 2019.08.22 | arXiv:1901.10513 [cs, stat] | Adversarial Examples Are a Natural Consequence of Test Error in Noise | portal | note、report | |
5 | 2019.08.27 | arXiv:1902.02918 [cs, stat] | Certified Adversarial Robustness via Randomized Smoothing | portal | portal | note、report |
6 | 2019.08.31 | arXiv:1906.02972 [cs, stat] | Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks | portal | report | |
7 | 2019.09.18 | 计算机科学与探索 | 组合测试用例生成技术 | portal | ||
8 | 2019.10.31 | 2013 35th International Conference on Software Engineering (ICSE) | Comparative causality: Explaining the differences between executions | portal |