Adaptive Precision Training (AdaPT): A dynamic fixed point quantized
training approach for DNNs

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Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs

28 July 2021

Tabea Reichmann

Wilfried Gansterer

ArXiv (abs)PDF HTML HuggingFace (1 upvotes)

Papers citing "Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs"

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Title
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win Lorenz Kummer Samir Moustafa Anatol Ehrlich Franka Bause Nikolaus Suess Wilfried Gansterer Nils M. Kriege 128 0 0 04 Jun 2025
Progressive Mixed-Precision Decoding for Efficient LLM Inference Hao Mark Chen Fuwen Tan Alexandros Kouris Royson Lee Hongxiang Fan Stylianos I. Venieris MQ 169 5 0 17 Oct 2024
Frame Quantization of Neural Networks Wojciech Czaja Sanghoon Na 106 1 0 11 Apr 2024
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent Lorenz Kummer Samir Moustafa Nils N. Kriege Wilfried N. Gansterer GNN AAML 117 0 0 02 Nov 2023
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware Lakshmi Nair D. Bunandar 79 0 0 05 Jun 2023