Exploring Regularizing Class Wise Predictions Via Self Knowledge Distillation
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- Paper: http://ceur-ws.org/Vol-2882/paper74.pdf Jaeyong Kang and Jeonghwan Gwak : KD-ResUNet++: Automatic Polyp ...
- Hossein Mobahi, Google Research In supervised learning we often seek a model which minimizes (to epsilon optimality) a loss ...
- In this video, we take a look at
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In-Depth Information on Regularizing Class Wise Predictions Via Self Knowledge Distillation
Authors: Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin Description: Deep neural networks with millions of parameters may ... Authors: Zhenzhu Zheng (University of Delaware)*; Xi Peng (University of Delaware) Description: We present PPT: https://github.com/scilearner/papernotclear arxiv: https://arxiv.org/abs/2003.13964 同一网络用另一个同标签样本(x', y) 对(x, ... 631 - Multi-Task Knowledge Distillation for Eye Disease Prediction
The optimal training recipe for
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