Dajiang Zhou

QuantNAS: Quantization-aware Neural Architecture Search For Efficient Deployment On Mobile Device

2024

Deep convolutional networks are increasingly applied in mobile AI scenarios. To achieve efficient deployment, researchers combine neural architecture search (NAS) and quantization to find the best quantized architecture. However, existing methods overlook the on-device implementation …

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression

2024 · arXiv (Cornell University)

Learning-based probabilistic models can be combined with an entropy coder for data compression. However, due to the high complexity of learning-based models, their practical application as text compressors has been largely overlooked. To address this …