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Learning Low-Rank Representations for Model Compression
Vector Quantization (VQ) is an appealing model compression method to obtain a tiny model with less accuracy loss.
Learning specialized activation functions with the Piecewise Linear Unit
It can learn specialized activation functions and achieves SOTA performance on large-scale datasets like ImageNet and COCO.
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