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8 Results

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Poster
Tue 14:00 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
Jung Hyun Lee · Jeonghoon Kim · Se Jung Kwon · Dongsoo Lee
Workshop
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Poster
Wed 17:00 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao · Ji Lin · Mickael Seznec · Hao Wu · Julien Demouth · Song Han
Workshop
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Zhihang Yuan · Jiawei Liu · Jiaxiang Wu · Dawei Yang · Qiang Wu · Guangyu Sun · Wenyu Liu · Xinggang Wang · Bingzhe Wu
Poster
Thu 13:30 Quantized Distributed Training of Large Models with Convergence Guarantees
Ilia Markov · Adrian Vladu · Qi Guo · Dan Alistarh
Poster
Tue 17:00 Scaling of Class-wise Training Losses for Post-hoc Calibration
Seungjin Jung · Seungmo Seo · Yonghyun Jeong · Jongwon Choi
Poster
Tue 14:00 SLAMB: Accelerated Large Batch Training with Sparse Communication
Hang Xu · Wenxuan Zhang · Jiawei Fei · Yuzhe Wu · TingWen Xie · Jun Huang · Yuchen Xie · Mohamed Elhoseiny · Panos Kalnis
Workshop
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Kun He · Xin Liu · Yichen Yang · Zhou Qin · Weigao Wen · Hui Xue' · John Hopcroft