Softmax Bias Correction for Quantized Generative Models von Pandey, Nilesh Prasad, Fournarakis, Marios, Patel, Chirag, Nagel, Markus

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Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices von Gupta, Kartik, Fournarakis, Marios, Reisser, Matthias, Louizos, Christos, Nagel, Markus

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In-Hindsight Quantization Range Estimation for Quantized Training von Fournarakis, Marios, Nagel, Markus

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QBitOpt: Fast and Accurate Bitwidth Reallocation during Training von Peters, Jorn, Fournarakis, Marios, Nagel, Markus, van Baalen, Mart, Blankevoort, Tijmen

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QUANTIZATION ROBUST FEDERATED MACHINE LEARNING von FOURNARAKIS, Marios, NAGEL, Markus, REISSER, Matthias, LOUIZOS, Christos, GUPTA, Kartik

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Neural Network Quantization with AI Model Efficiency Toolkit (AIMET) von Siddegowda, Sangeetha, Fournarakis, Marios, Nagel, Markus, Blankevoort, Tijmen, Patel, Chirag, Khobare, Abhijit

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Softmax Bias Correction for Quantized Generative Models von Nilesh Prasad Pandey, Fournarakis, Marios, Patel, Chirag, Nagel, Markus

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WEIGHT OSCILLATION MITIGATION DURING MACHINE LEARNING von NAGEL, Markus, FOURNARAKIS, Marios, BLANKEVOORT, Tijmen Pieter Frederik, BONDARENKO, Yelysei

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MIXED-PRECISION QUANTIZATION IN MACHINE LEARNING USING MODEL SENSITIVITY AND CONSTRAINED OPTIMIZATION von FOURNARAKIS, Marios, NAGEL, Markus, PETERS, Jorn Wilhelmus Timotheus, VAN BAALEN, Marinus Willem

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Overcoming Oscillations in Quantization-Aware Training von Nagel, Markus, Fournarakis, Marios, Bondarenko, Yelysei, Blankevoort, Tijmen

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Neural Network Quantization with AI Model Efficiency Toolkit (AIMET) von Siddegowda, Sangeetha, Fournarakis, Marios, Nagel, Markus, Blankevoort, Tijmen, Patel, Chirag, Khobare, Abhijit

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Quantizing Neural Networks for Low-Power Computer Vision von Fournarakis, Marios, Nagel, Markus, Amjad, Rana Ali, Bondarenko, Yelysei, Baalen, Mart van, Blankevoort, Tijmen

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