Practical Diagnostic Tools for Deep Neural Networks
The most common way to evaluate AI systems is by analyzing their performance on a test set. However, test sets can fail to identify some problems (such as out-of-distribution failures) and can actively reinforce others (such as dataset biases). Identifying problems like these requires techniques tha...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153769 |