GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021) · cited 17× · AI/ML
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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity

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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. Retrieved May 24, 2026, from https://4ort.xyz/entity/grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sp
MLA “GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sp.
BibTeX @misc{4ortxyz_grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity}}, year = {2026}, url = {https://4ort.xyz/entity/grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sp}, note = {Accessed: 2026-05-24}}
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