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GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
Research article (Neural Networks, 2018) · cited 147× · AI/ML
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under an unified discretization framework
Summary
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under an unified discretization framework is a scholarly article[1].
Key Facts
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under an unified discretization framework's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unifi
MLA“GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unifi.
BibTeX@misc{4ortxyz_gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unifi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework}}, year = {2026}, url = {https://4ort.xyz/entity/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unifi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework — https://4ort.xyz/entity/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unifi (retrieved 2026-05-24)
