作者位次 #5/5ICLR 2026Poster· General Machine Learning / Transfer, Multitask and Meta-learning
Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
Anh Hoang · Van Cuong Pham · Trung Le · Jianfei Cai · Thanh-Toan Do
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Anh Hoang · Van Cuong Pham · Trung Le · Jianfei Cai · Thanh-Toan Do
Van-Anh Nguyen · Mehrtash Harandi · Thanh-Toan Do · Linh Ngo Van · Dinh Q. Phung · Trung Le
Van Cuong Pham · Anh Hoang · Cuong Nguyen · Trung Le · Dinh Q. Phung · Gustavo Carneiro · Thanh-Toan Do
Haocheng Luo · Zehang Deng · Thanh-Toan Do · Mehrtash Harandi · Dinh Q. Phung · Trung Le
Cuong Pham · Anh Dung Hoang · Cuong C. Nguyen · Trung Le · Gustavo Carneiro · Thanh-Toan Do
Large language models (LLMs) have advanced natural language processing, but their massive parameter counts create computational and memory challenges during deployment. Post-training quantization (PTQ) has emerged as a promising approach to mitigate these challenges. While existing PTQ methods ca...
Zheng Zhang · Cuong C. Nguyen · Kevin Wells · Thanh-Toan Do · David Rosewarne · Gustavo Carneiro