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[PDF] To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?

A Cooper, X Boix, D Harari, S Madan, H Pfister… - arXiv preprint arXiv …, 2021
The capability of Deep Neural Networks (DNNs) to recognize objects in orientations
outside the distribution of the training data, ie. out-of-distribution (OoD) orientations,
is not well understood. For humans, behavioral studies showed that recognition …
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GenNI: Human-AI Collaboration for Data-Backed Text Generation

H Strobelt, J Kinley, R Krueger, J Beyer, H Pfister… - IEEE Transactions on …, 2021
Table2Text systems generate textual output based on structured data utilizing
machine learning. These systems are essential for fluent natural language interfaces
in tools such as virtual assistants; however, left to generate freely these ML systems …
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