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A Review of Binarized Neural Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_32openalex-snapshot
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
inferredcites →https://doi.org/10.1073/pnas.0700324104openalex-snapshot
Efficient supervised learning in networks with binary synapses
inferredcites →https://doi.org/10.1109/aspdac.2017.7858419openalex-snapshot
Binary convolutional neural network on RRAM
inferredcites →https://doi.org/10.1109/aspdac.2018.8297274openalex-snapshot
Quantized deep neural networks for energy efficient hardware-based inference
inferredcites →https://doi.org/10.1109/cvpr.2017.17openalex-snapshot
Universal Adversarial Perturbations
inferredcites →https://doi.org/10.1109/cvpr.2018.00452openalex-snapshot
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks
inferredcites →https://doi.org/10.1109/dac.2018.8465903openalex-snapshot
Content Addressable Memory Based Binarized Neural Network Accelerator Using Time-Domain Signal Processing
inferredcites →https://doi.org/10.1109/dac.2018.8465935openalex-snapshot
Parallelizing SRAM Arrays with Customized Bit-Cell for Binary Neural Networks
inferredcites →https://doi.org/10.1109/fccm.2018.00018openalex-snapshot
ReBNet: Residual Binarized Neural Network
inferredcites →https://doi.org/10.1109/fpl.2018.00016openalex-snapshot
FBNA: A Fully Binarized Neural Network Accelerator
inferredcites →https://doi.org/10.1109/fpl.2018.00024openalex-snapshot
FINN-L: Library Extensions and Design Trade-Off Analysis for Variable Precision LSTM Networks on FPGAs
inferredcites →https://doi.org/10.1109/fpt.2016.7929192openalex-snapshot
Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC
inferredcites →https://doi.org/10.1109/fpt.2016.7929552openalex-snapshot
A memory-based realization of a binarized deep convolutional neural network
inferredcites →https://doi.org/10.1109/icassp.2018.8461824openalex-snapshot
Bitwise Neural Networks for Efficient Single-Channel Source Separation
inferredcites →https://doi.org/10.1109/iccv.2017.400openalex-snapshot
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
inferredcites →https://doi.org/10.1109/icip.2018.8451576openalex-snapshot
Flexible Network Binarization with Layer-Wise Priority
inferredcites →https://doi.org/10.1109/icisce.2018.00071openalex-snapshot
Low Bits: Binary Neural Network for Vad and Wakeup
inferredcites →https://doi.org/10.1109/icsict.2018.8565811openalex-snapshot
Computing-in-Memory with SRAM and RRAM for Binary Neural Networks
inferredcites →https://doi.org/10.1109/iedm.2016.7838429openalex-snapshot
Binary neural network with 16 Mb RRAM macro chip for classification and online training
inferredcites →https://doi.org/10.1109/iedm.2018.8614642openalex-snapshot
A new hardware implementation approach of BNNs based on nonlinear 2T2R synaptic cell
inferredcites →https://doi.org/10.1109/ipdpsw.2017.95openalex-snapshot
On-Chip Memory Based Binarized Convolutional Deep Neural Network Applying Batch Normalization Free Technique on an FPGA
inferredcites →https://doi.org/10.1109/iscas.2018.8351807openalex-snapshot
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
inferredcites →https://doi.org/10.1109/ismvl.2018.00038openalex-snapshot
A Ternary Weight Binary Input Convolutional Neural Network: Realization on the Embedded Processor
inferredcites →https://doi.org/10.1109/isocc.2016.7799741openalex-snapshot
A new approach to binarizing neural networks
inferredcites →https://doi.org/10.1109/isvlsi.2018.00034openalex-snapshot
TaiJiNet: Towards Partial Binarized Convolutional Neural Network for Embedded Systems
inferredcites →https://doi.org/10.1109/jssc.2018.2869150openalex-snapshot
An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS
inferredcites →https://doi.org/10.1109/mwscas.2017.8052915openalex-snapshot
Deep learning binary neural network on an FPGA
inferredcites →https://doi.org/10.1109/sies.2018.8442108openalex-snapshot
BinaryEye: A 20 kfps Streaming Camera System on FPGA with Real-Time On-Device Image Recognition Using Binary Neural Networks
inferredcites →https://doi.org/10.1109/siprocess.2017.8124582openalex-snapshot
Experimental exploration of the performance of binary networks
inferredcites →https://doi.org/10.1109/sips.2014.6986082openalex-snapshot
Fixed-point feedforward deep neural network design using weights +1, 0, and −1
inferredcites →https://doi.org/10.1109/tie.2018.2875643openalex-snapshot
A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tim.2018.2840598openalex-snapshot
Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition
inferredcites →https://doi.org/10.1109/tpami.2018.2866051openalex-snapshot
Hierarchical Binary CNNs for Landmark Localization with Limited Resources
inferredcites →https://doi.org/10.1109/vlsic.2018.8502309openalex-snapshot
A 141 UW, 2.46 PJ/Neuron Binarized Convolutional Neural Network Based Self-Learning Speech Recognition Processor in 28NM CMOS
inferredcites →https://doi.org/10.1109/vlsic.2018.8502421openalex-snapshot
A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement
inferredcites →https://doi.org/10.1109/wacv.2018.00095openalex-snapshot
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
inferredcites →https://doi.org/10.1145/3020078.3021741openalex-snapshot
Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs
inferredcites →https://doi.org/10.1145/3029580.3029586openalex-snapshot
Scaling Binarized Neural Networks on Reconfigurable Logic
inferredcites →https://doi.org/10.1145/3203217.3204463openalex-snapshot
Always-ON visual node with a hardware-software event-based binarized neural network inference engine
inferredcites →https://doi.org/10.1145/3218603.3218615openalex-snapshot
A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference
inferredcites →https://doi.org/10.1145/3240765.3240822openalex-snapshot
Logic synthesis of binarized neural networks for efficient circuit implementation
inferredcites →https://doi.org/10.1145/3270689openalex-snapshot
Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs
inferredcites →https://doi.org/10.1145/3270764openalex-snapshot
High-Efficiency Convolutional Ternary Neural Networks with Custom Adder Trees and Weight Compression
inferredcites →https://doi.org/10.1609/aaai.v31i1.10862openalex-snapshot
How to Train a Compact Binary Neural Network with High Accuracy?
inferredcites →https://doi.org/10.1609/aaai.v32i1.11783openalex-snapshot
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
inferredcites →https://doi.org/10.1609/aaai.v32i1.12206openalex-snapshot
Verifying Properties of Binarized Deep Neural Networks
inferredcites →https://doi.org/10.23919/date.2018.8342235openalex-snapshot
XNOR-RRAM: A scalable and parallel resistive synaptic architecture for binary neural networks
inferredcites →https://doi.org/10.23919/fpl.2017.8056771openalex-snapshot
A fully connected layer elimination for a binarizec convolutional neural network on an FPGA
inferredcites →https://doi.org/10.24963/ijcai.2018/669openalex-snapshot
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models
inferredcites →https://doi.org/10.3929/ethz-b-000329926openalex-snapshot
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1308.3432openalex-snapshot
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot
Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1405.3866openalex-snapshot
Speeding up Convolutional Neural Networks with Low Rank Expansions
inferredcites →https://doi.org/10.48550/arxiv.1412.7024openalex-snapshot
Training deep neural networks with low precision multiplications
inferredcites →https://doi.org/10.48550/arxiv.1502.02551openalex-snapshot
Deep Learning with Limited Numerical Precision
inferredcites →https://doi.org/10.48550/arxiv.1511.00363openalex-snapshot
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
inferredcites →https://doi.org/10.48550/arxiv.1606.06160openalex-snapshot
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
inferredcites →https://doi.org/10.48550/arxiv.1609.07061openalex-snapshot
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
inferredcites →https://doi.org/10.48550/arxiv.1709.02260openalex-snapshot
Embedded Binarized Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1711.00449openalex-snapshot
Attacking Binarized Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1711.11294openalex-snapshot
Towards Accurate Binary Convolutional Neural Network
inferredcites →https://doi.org/10.5244/c.28.88openalex-snapshot
Speeding up Convolutional Neural Networks with Low Rank Expansions
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Binarized Neural Network Comprising Quasi‐Nonvolatile Memory Devices for Neuromorphic Computing
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In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches
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inferred← citeshttps://doi.org/10.1007/978-3-030-81645-2_25openalex-snapshot
Towards Demystifying Adversarial Robustness of Binarized Neural Networks
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EB-SNN: An Ensemble Binary Spiking Neural Network for Visual Recognition
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BiLLIE: Toward Smooth Binarization of Low-Light Image Enhancement
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Bio-Inspired and Power Efficient Continual Learning of EEG Signals
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Hybrid binarized neural network for high-accuracy classification of power quality disturbances
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Optimized convolutional neural network architectures for efficient on-device vision-based object detection
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A comprehensive review of Binary Neural Network
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BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
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Probabilistic Undersampling Mask Optimization with Weight Adaptation for MRI Reconstruction
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Partially binarized neural networks for efficient spike sorting
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Edge computing-oriented model optimization for synchronous acquisition of key physical parameters governing building collapses in fire
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An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning
inferred← citeshttps://doi.org/10.1109/jetcas.2023.3328926openalex-snapshot
Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks
inferred← citeshttps://doi.org/10.1109/jiot.2021.3078292openalex-snapshot
Stacked Autoencoder-Based Probabilistic Feature Extraction for On-Device Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/jiot.2023.3321299openalex-snapshot
COOL: Conservation of Output Links for Pruning Algorithms in Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/jsen.2021.3129466openalex-snapshot
Enabling Lightweight Device-Free Wireless Sensing With Network Pruning and Quantization
inferred← citeshttps://doi.org/10.1109/jssc.2022.3162602openalex-snapshot
A 65-nm 8T SRAM Compute-in-Memory Macro With Column ADCs for Processing Neural Networks
inferred← citeshttps://doi.org/10.1109/jstsp.2022.3170654openalex-snapshot
PUERT: Probabilistic Under-Sampling and Explicable Reconstruction Network for CS-MRI
inferred← citeshttps://doi.org/10.1109/jsyst.2022.3163235openalex-snapshot
Decentralized Resource Allocation-Based Multiagent Deep Learning in Vehicular Network
inferred← citeshttps://doi.org/10.1109/lats57337.2022.9936951openalex-snapshot
Spin Orbit Torque-based Crossbar Array for Error Resilient Binary Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/led.2021.3089621openalex-snapshot
Robust Binary Neural Network Operation From 233 K to 398 K via Gate Stack and Bias Optimization of Ferroelectric FinFET Synapses
inferred← citeshttps://doi.org/10.1109/siu53274.2021.9477823openalex-snapshot
An Energy-Efficient FPGA-based Convolutional Neural Network Implementation
inferred← citeshttps://doi.org/10.1109/ssci52147.2023.10371905openalex-snapshot
Results on the Empirical Design of a Residual Binary Multilayer Perceptron Architecture
inferred← citeshttps://doi.org/10.1109/tap.2024.3385112openalex-snapshot
High-Efficiency Transmissive Tunable Metasurfaces for Binary Cascaded Diffractive Layers
inferred← citeshttps://doi.org/10.1109/tase.2020.3048056openalex-snapshot
Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests
inferred← citeshttps://doi.org/10.1109/taslp.2021.3078640openalex-snapshot
Group Communication With Context Codec for Lightweight Source Separation
inferred← citeshttps://doi.org/10.1109/tcad.2022.3213612openalex-snapshot
Spintronic Memristor-Based Binarized Ensemble Convolutional Neural Network Architectures
inferred← citeshttps://doi.org/10.1109/tcasai.2025.3569509openalex-snapshot
Design of Highly-Accurate and Hardware-Efficient Spiking Neural Networks
inferred← citeshttps://doi.org/10.1109/tcsi.2020.3011984openalex-snapshot
A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tcsi.2023.3323205openalex-snapshot
An Energy Efficient All-Digital Time-Domain Compute-in-Memory Macro Optimized for Binary Neural Networks
inferred← citeshttps://doi.org/10.1109/tcsi.2023.3336248openalex-snapshot
A Mixed-Signal Quantized Neural Network Accelerator Using Flash Transistors
inferred← citeshttps://doi.org/10.1109/tcsii.2022.3233396openalex-snapshot
An ADC-Less RRAM-Based Computing-in-Memory Macro With Binary CNN for Efficient Edge AI
inferred← citeshttps://doi.org/10.1109/tcsii.2023.3241446openalex-snapshot
Ternary Output Binary Neural Network With Zero-Skipping for MRAM-Based Digital In-Memory Computing
inferred← citeshttps://doi.org/10.1109/tcsii.2023.3298910openalex-snapshot
Efficient Low-Bit Neural Network With Memristor-Based Reconfigurable Circuits
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3398691openalex-snapshot
Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search
inferred← citeshttps://doi.org/10.1109/tcyb.2026.3651321openalex-snapshot
Evolutionary Multiobjective Neural Architecture Search for Binary Neural Networks by Two-Stage Optimization
inferred← citeshttps://doi.org/10.1109/tdmr.2021.3075200openalex-snapshot
Reliability and Performance Analysis of Logic-in-Memory Based Binarized Neural Networks
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3417286openalex-snapshot
CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification
inferred← citeshttps://doi.org/10.1109/tifs.2023.3274391openalex-snapshot
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
inferred← citeshttps://doi.org/10.1109/tifs.2023.3290483openalex-snapshot
VPiP: Values Packing in Paillier for Communication Efficient Oblivious Linear Computations
inferred← citeshttps://doi.org/10.1109/tifs.2024.3468150openalex-snapshot
Privacy-Preserving Probabilistic Data Encoding for IoT Data Analysis
inferred← citeshttps://doi.org/10.1109/tnano.2024.3466128openalex-snapshot
First Realization of Batch Normalization in Flash-Based Binary Neural Networks Using a Single Voltage Shifter
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3243259openalex-snapshot
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
inferred← citeshttps://doi.org/10.1109/tnsre.2020.3043403openalex-snapshot
Neural Spike Sorting Using Binarized Neural Networks
inferred← citeshttps://doi.org/10.1109/tpami.2022.3212615openalex-snapshot
SiMaN: Sign-to-Magnitude Network Binarization
inferred← citeshttps://doi.org/10.1109/tpds.2020.3045828openalex-snapshot
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs
inferred← citeshttps://doi.org/10.1109/tro.2022.3148908openalex-snapshot
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
inferred← citeshttps://doi.org/10.1109/tvlsi.2022.3163233openalex-snapshot
MOL-Based In-Memory Computing of Binary Neural Networks
inferred← citeshttps://doi.org/10.1109/uemcon59035.2023.10316010openalex-snapshot
Efficient Quantization and Hardware Implementation of AlexNet on Resource-limited FPGAs
inferred← citeshttps://doi.org/10.1109/vlsi-soc53125.2021.9606981openalex-snapshot
On Antagonism Between Side-Channel Security and Soft-Error Reliability in BNN Inference Engines
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093537openalex-snapshot
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study
inferred← citeshttps://doi.org/10.1134/s106373972005008xopenalex-snapshot
Spots Concept for Problems of Artificial Intelligence and Algorithms of Neuromorphic Systems
inferred← citeshttps://doi.org/10.1134/s1063739724600766openalex-snapshot
Brief Review of Neuron Typology and Analysis of the Use of Memristor Crossbars
inferred← citeshttps://doi.org/10.1142/s021800142152011xopenalex-snapshot
A Layer-Wise Ensemble Technique for Binary Neural Network
inferred← citeshttps://doi.org/10.1142/s0218127423300239openalex-snapshot
Pure-Attention-Based Multifunction Memristive Neuromorphic Circuit and System
inferred← citeshttps://doi.org/10.1145/3437880.3460394openalex-snapshot
Banners: Binarized Neural Networks with Replicated Secret Sharing
inferred← citeshttps://doi.org/10.1145/3447548.3467348openalex-snapshot
Differentiable Pattern Set Mining
inferred← citeshttps://doi.org/10.1145/3472612openalex-snapshot
RAP: A Software Framework of Developing Convolutional Neural Networks for Resource-constrained Devices Using Environmental Monitoring as a Case Study
inferred← citeshttps://doi.org/10.1145/3485133openalex-snapshot
Adversarial Machine Learning in Image Classification: A Survey Toward the Defender’s Perspective
inferred← citeshttps://doi.org/10.1145/3486674openalex-snapshot
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions
inferred← citeshttps://doi.org/10.1145/3555776.3577674openalex-snapshot
Are alternatives to backpropagation useful for training Binary Neural Networks? An experimental study in image classification
inferred← citeshttps://doi.org/10.1145/3560905.3568512openalex-snapshot
Adaptive Intelligence for Batteryless Sensors Using Software-Accelerated Tsetlin Machines
inferred← citeshttps://doi.org/10.1145/3564663openalex-snapshot
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
inferred← citeshttps://doi.org/10.1145/3583564openalex-snapshot
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
inferred← citeshttps://doi.org/10.1145/3597031.3597058openalex-snapshot
Noise Resilience of Reduced Precision Neural Networks
inferred← citeshttps://doi.org/10.1145/3613963openalex-snapshot
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
inferred← citeshttps://doi.org/10.1145/3688636.3688655openalex-snapshot
Reconfigurable Hardware Accelerator for Convolution Operations in Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1145/3786659openalex-snapshot
IDAP++: Advancing Divergence-Aware Pruning with Joint Filter and Layer Optimization
inferred← citeshttps://doi.org/10.1155/2022/1463094openalex-snapshot
Performance of Post-Training Two-Bits Uniform and Layer-Wise Uniform Quantization for MNIST Dataset from the Perspective of Support Region Choice
inferred← citeshttps://doi.org/10.1162/artl_a_00405openalex-snapshot
Design and Simulation of a Multilayer Chemical Neural Network That Learns via Backpropagation
inferred← citeshttps://doi.org/10.14529/cmse230401openalex-snapshot
Review on Application of Deep Neural Networks and Parallel Architectures for Rock Fragmentation Problems
inferred← citeshttps://doi.org/10.14722/ndss.2023.24034openalex-snapshot
REDsec: Running Encrypted Discretized Neural Networks in Seconds
inferred← citeshttps://doi.org/10.1587/transinf.2021edp7111openalex-snapshot
FPGA Implementation of 3-Bit Quantized Multi-Task CNN for Contour Detection and Disparity Estimation
inferred← citeshttps://doi.org/10.17760/d20487159openalex-snapshot
A low power time-domain computing-in-memory micro for binary neural networks
inferred← citeshttps://doi.org/10.21203/rs.3.rs-701752/v1openalex-snapshot
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
inferred← citeshttps://doi.org/10.2174/9798898810030125040005openalex-snapshot
Federated Learning for Enhanced Intrusion Detection: Combating Digital Deception in IoTEnabled Social Networks
inferred← citeshttps://doi.org/10.23919/date54114.2022.9774539openalex-snapshot
A Flash-based Current-mode IC to Realize Quantized Neural Networks
inferred← citeshttps://doi.org/10.23919/eusipco47968.2020.9287574openalex-snapshot
Offline Training for Memristor-based Neural Networks
inferred← citeshttps://doi.org/10.26599/tst.2021.9010084openalex-snapshot
GAAF: Searching Activation Functions for Binary Neural Networks Through Genetic Algorithm
inferred← citeshttps://doi.org/10.32508/stdjet.v4i4.906openalex-snapshot
Optimizing the convolutional neural networks for resource-constraint hardwares
inferred← citeshttps://doi.org/10.3389/fdata.2022.787421openalex-snapshot
Applications and Techniques for Fast Machine Learning in Science
inferred← citeshttps://doi.org/10.3389/fdata.2024.1371518openalex-snapshot
An encoding framework for binarized images using hyperdimensional computing
inferred← citeshttps://doi.org/10.3390/app14219749openalex-snapshot
Logic-Compatible Embedded DRAM Architecture for Multifunctional Digital Storage and Compute-in-Memory
inferred← citeshttps://doi.org/10.3390/app15020688openalex-snapshot
FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs
inferred← citeshttps://doi.org/10.3390/axioms15070533openalex-snapshot
Algebraically Stabilizing Blocks for Quantized and Finite-Precision Neural Networks
inferred← citeshttps://doi.org/10.3390/e23080933openalex-snapshot
Design of a 2-Bit Neural Network Quantizer for Laplacian Source
inferred← citeshttps://doi.org/10.3390/electronics10030230openalex-snapshot
Reconfigurable Binary Neural Network Accelerator with Adaptive Parallelism Scheme
inferred← citeshttps://doi.org/10.3390/electronics10131511openalex-snapshot
Efficient Binarized Convolutional Layers for Visual Inspection Applications on Resource-Limited FPGAs and ASICs
inferred← citeshttps://doi.org/10.3390/electronics11101526openalex-snapshot
Ternary Neural Networks Based on on/off Memristors: Set-Up and Training
inferred← citeshttps://doi.org/10.3390/electronics11172780openalex-snapshot
High-Performance and Robust Binarized Neural Network Accelerator Based on Modified Content-Addressable Memory
inferred← citeshttps://doi.org/10.3390/electronics11233966openalex-snapshot
Multi-Model Inference Accelerator for Binary Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/electronics12224657openalex-snapshot
Learing Sampling and Reconstruction Using Bregman Iteration for CS-MRI
inferred← citeshttps://doi.org/10.3390/electronics13061130openalex-snapshot
Real-Time Embedded Simulation Platform for Hippocampal Traveling Waves of Electric Field Conduction
inferred← citeshttps://doi.org/10.3390/info11110501openalex-snapshot
Design and Analysis of Binary Scalar Quantizer of Laplacian Source with Applications
inferred← citeshttps://doi.org/10.3390/medicina60060972openalex-snapshot
Bridging the Diagnostic Gap between Histopathologic and Hysteroscopic Chronic Endometritis with Deep Learning Models
inferred← citeshttps://doi.org/10.3390/mi12101243openalex-snapshot
Multi-Input Logic-in-Memory for Ultra-Low Power Non-Von Neumann Computing
inferred← citeshttps://doi.org/10.3390/s21113906openalex-snapshot
Command Recognition Using Binarized Convolutional Neural Network with Voice and Radar Sensors for Human-Vehicle Interaction
inferred← citeshttps://doi.org/10.3390/s21123992openalex-snapshot
Camera-LiDAR Multi-Level Sensor Fusion for Target Detection at the Network Edge
inferred← citeshttps://doi.org/10.3390/s23031247openalex-snapshot
Application of the Model of Spots for Inverse Problems
inferred← citeshttps://doi.org/10.3390/s23125556openalex-snapshot
Pre-Computing Batch Normalisation Parameters for Edge Devices on a Binarized Neural Network
inferred← citeshttps://doi.org/10.3390/s23229254openalex-snapshot
Binary Neural Networks in FPGAs: Architectures, Tool Flows and Hardware Comparisons
inferred← citeshttps://doi.org/10.3390/s24227207openalex-snapshot
A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method
inferred← citeshttps://doi.org/10.48084/etasr.3357openalex-snapshot
A Low-cost Artificial Neural Network Model for Raspberry Pi
inferred← citeshttps://doi.org/10.48084/etasr.4758openalex-snapshot
A Ternary Neural Network with Compressed Quantized Weight Matrix for Low Power Embedded Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2003.13720openalex-snapshot
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2009.13055openalex-snapshot
Rotated Binary Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.2104.05217openalex-snapshot
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
inferred← citeshttps://doi.org/10.48550/arxiv.2104.10044openalex-snapshot
BCNN: Binary Complex Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.2106.07561openalex-snapshot
Direct Servo Control from In-Sensor CNN Inference with A Pixel Processor Array
inferred← citeshttps://doi.org/10.48550/arxiv.2107.01400openalex-snapshot
Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations
inferred← citeshttps://doi.org/10.48550/arxiv.2110.08996openalex-snapshot
Finding Everything within Random Binary Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2203.07078openalex-snapshot
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks
inferred← citeshttps://doi.org/10.52591/lxai202106255openalex-snapshot
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
inferred← citeshttps://doi.org/10.5755/j01.itc.51.4.30473openalex-snapshot
Performance Analysis of a 2-bit Dual-Mode Uniform Scalar Quantizer for Laplacian Source
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