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CBin-NN: An Inference Engine for Binarized Neural Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Binary neural networks: A survey
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Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
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A Systematic Literature Review on Binary Neural Networks
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ImageNet: A large-scale hierarchical image database
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Memory Efficient Binary Convolutional Neural Networks on Microcontrollers
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Hybrid Fixed-point/Binary Convolutional Neural Network Accelerator for Real-time Tactile Processing
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On-Chip Memory Based Binarized Convolutional Deep Neural Network Applying Batch Normalization Free Technique on an FPGA
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inferredcites →https://doi.org/10.48550/arxiv.1511.00363openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1802.04799openalex-snapshot
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.10319openalex-snapshot
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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