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Enhancing Bnn Storage and Performance Requirements Via Efficient Quantization and Variable Encoding

https://doi.org/10.2139/ssrn.4883626
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58568-6_9openalex-snapshot
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
inferredcites →https://doi.org/10.1007/978-3-031-44198-1_33openalex-snapshot
Input Layer Binarization with Bit-Plane Encoding
inferredcites →https://doi.org/10.1016/j.neucom.2017.09.046openalex-snapshot
FP-BNN: Binarized neural network on FPGA
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01215openalex-snapshot
PokeBNN: A Binary Pursuit of Lightweight Accuracy
inferredcites →https://doi.org/10.1109/fccm.2018.00018openalex-snapshot
ReBNet: Residual Binarized Neural Network
inferredcites →https://doi.org/10.1109/icpr56361.2022.9956533openalex-snapshot
Fast matrix multiplication for binary and ternary CNNs on ARM CPU
inferredcites →https://doi.org/10.1109/tencon.2000.893543openalex-snapshot
Parallel Huffman decoder with an optimized look up table option on FPGA
inferredcites →https://doi.org/10.1109/tpami.2022.3206148openalex-snapshot
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
inferredcites →https://doi.org/10.1145/165123openalex-snapshot
Proceedings of the 20th annual international symposium on Computer architecture - ISCA '93
inferredcites →https://doi.org/10.1145/3020078.3021744openalex-snapshot
FINN
inferredcites →https://doi.org/10.1145/3343031.3350534openalex-snapshot
daBNN
inferredcites →https://doi.org/10.1145/3423136openalex-snapshot
Binary Precision Neural Network Manycore Accelerator
inferredcites →https://doi.org/10.1145/3431920.3439296openalex-snapshot
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
inferredcites →https://doi.org/10.1145/3457388.3458656openalex-snapshot
Ultra-compact binary neural networks for human activity recognition on RISC-V processors
inferredcites →https://doi.org/10.1145/3494569openalex-snapshot
A BNN Accelerator Based on Edge-skip-calculation Strategy and Consolidation Compressed Tree
inferredcites →https://doi.org/10.1145/3566097.3567873openalex-snapshot
Latent Weight-Based Pruning for Small Binary Neural Networks
inferredcites →https://doi.org/10.1145/3577193.3593725openalex-snapshot
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
inferredcites →https://doi.org/10.23919/date56975.2023.10137052openalex-snapshot
Exploiting Kernel Compression on BNNs
inferredcites →https://doi.org/10.3390/electronics10030230openalex-snapshot
Reconfigurable Binary Neural Network Accelerator with Adaptive Parallelism Scheme
inferredcites →https://doi.org/10.4230/lipics.ecrts.2024.13openalex-snapshot
DeepTrust^RT: Confidential Deep Neural Inference Meets Real-Time!
inferredcites →https://doi.org/10.4230/oasics.nines.2026.13openalex-snapshot
In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication
inferredcites →https://doi.org/10.48550/arxiv.1609.08144openalex-snapshot
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1908.05858openalex-snapshot
daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices
inferredcites →https://doi.org/10.48550/arxiv.2004.09602openalex-snapshot
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
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