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11/21/2022
Learning Low-Rank Representations for Model Compression
Vector Quantization (VQ) is an appealing model compression method to obt...
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Learning specialized activation functions with the Piecewise Linear Unit
The choice of activation functions is crucial for modern deep neural net...
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FixNorm: Dissecting Weight Decay for Training Deep Neural Networks
Weight decay is a widely used technique for training Deep Neural Network...
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Towards Flops-constrained Face Recognition
Large scale face recognition is challenging especially when the computat...
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