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Poster
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Tue 14:00
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FP8 Quantization: The Power of the Exponent
Andrey Kuzmin · Mart van Baalen · Yuwei Ren · Markus Nagel · Jorn Peters · Tijmen Blankevoort
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Workshop
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Quantization-aware Policy Distillation (QPD)
Thomas Avé · Kevin Mets · Tom De Schepper · Steven Latre
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Poster
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Leveraging Inter-Layer Dependency for Post -Training Quantization
changbao wang · DanDan Zheng · Yuanliu Liu · Liang Li
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Poster
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Tue 9:00
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XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient
Xiaoxia Wu · Zhewei Yao · Minjia Zhang · Conglong Li · Yuxiong He
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Poster
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Thu 14:00
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ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao · Reza Yazdani Aminabadi · Minjia Zhang · Xiaoxia Wu · Conglong Li · Yuxiong He
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Workshop
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Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan · Robert Bamler
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Workshop
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Fri 3:50
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Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan · Robert Bamler
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Poster
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Thu 9:00
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Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar · Dan Alistarh
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Workshop
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Fri 8:30
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SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Song Han
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Poster
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Thu 9:00
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Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai · Lu Hou · Lifeng Shang · Xin Jiang · Irwin King · Michael R Lyu
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Poster
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TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Chang Chen · Min Li · Zhihua Wu · Dianhai Yu · Chao Yang
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Poster
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SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
Yangrui Chen · Cong Xie · Meng Ma · Juncheng Gu · Yanghua Peng · Haibin Lin · Chuan Wu · Yibo Zhu
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