In the paper 'MEC: Memory-efficient Convolution for Deep Neural Network', it mentions another paper to minimize response delay (e.g., better user experience) and network overhead via trained quantization and Huffman coding. You've also read that paper, recall the abstract of that paper, which dataset does that paper claim to show superior compression ability in the abstract?