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Joint Pruning & Quantization for Extremely Sparse Neural Networks

Joint Pruning & Quantization for Extremely Sparse Neural Networks

5 October 2020

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Papers citing "Joint Pruning & Quantization for Extremely Sparse Neural Networks"

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Search-Optimized Quantization in Biomedical Ontology AlignmentFrontiers in Artificial Intelligence (Front. Artif. Intell.), 2025 Oussama Bouaggad Natalia Grabar MQ 149 0 0 18 Jul 2025
Effective Interplay between Sparsity and Quantization: From Theory to Practice Simla Burcu Harma Ayan Chakraborty Elizaveta Kostenok Danila Mishin Dongho Ha ... Martin Jaggi Ming Liu Yunho Oh Suvinay Subramanian Amir Yazdanbakhsh MQ 301 18 0 31 May 2024
FPGA Resource-aware Structured Pruning for Real-Time Neural NetworksInternational Conference on Field-Programmable Technology (ICFPT), 2023 Benjamin Ramhorst Vladimir Loncar George A. Constantinides 168 10 0 09 Aug 2023
Towards Optimal Compression: Joint Pruning and Quantization Ben Zandonati Glenn Bucagu Adrian Alan Pol M. Pierini Olya Sirkin Tal Kopetz MQ 301 5 0 15 Feb 2023
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom Alexander Finkelstein Ella Fuchs Idan Tal Mark Grobman Niv Vosco Eldad Meller MQ 147 8 0 05 Dec 2022
Efficient Quantized Sparse Matrix Operations on Tensor CoresInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022 Shigang Li Kazuki Osawa Torsten Hoefler 340 45 0 14 Sep 2022
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations Xinyu Zhang Ian Colbert Ken Kreutz-Delgado Srinjoy Das MQ 246 12 0 15 Oct 2021
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks Po-Hsiang Yu Sih-Sian Wu Liang-Gee Chen VLM 92 0 0 17 Jan 2021