TFLite GPU: Add publication.
PiperOrigin-RevId: 256938400
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@ -207,3 +207,12 @@ if (interpreter->Invoke() != kTfLiteOk) return;
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* For performance [best practices](https://www.tensorflow.org/lite/performance/best_practices), do not hesitate to re-train your classifier with
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mobile-optimized network architecture. That is a significant part of
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optimization for on-device inference.
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## Publication
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* [On-Device Neural Net Inference with Mobile GPUs](https://arxiv.org/abs/1907.01989)
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* Juhyun Lee, Nikolay Chirkov, Ekaterina Ignasheva, Yury Pisarchyk, Mogan
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Shieh, Fabio Riccardi, Raman Sarokin, Andrei Kulik, and Matthias
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Grundmann
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* CVPR Workshop
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[Efficient Deep Learning for Computer Vision (ECV2019)](https://sites.google.com/corp/view/ecv2019)
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