Ji Lin
- Papers
- 7
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7papers
Authored papers
7AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
arXiv 2023
VILA: On Pre-training for Visual Language Models
CVPR 2024 1
Offsite-Tuning: Transfer Learning without Full Model
arXiv 2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
arXiv 2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
arXiv 2022
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
apq-joint-search-for-network-architecture
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
amc-automl-for-model-compression-and-1
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