
Object Detection for Understanding Assembly Instruction Using Contextaware Data Augmentation and Cascade Mask RCNN
Understanding assembly instruction has the potential to enhance the robo...
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Stochastic Precision Ensemble: SelfKnowledge Distillation for Quantized Deep Neural Networks
The quantization of deep neural networks (QDNNs) has been actively studi...
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SSGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima
The stochastic gradient descent (SGD) method is most widely used for dee...
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Multiple Classification with Split Learning
Privacy issues were raised in the process of training deep learning in m...
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Quantized Neural Networks: Characterization and Holistic Optimization
Quantized deep neural networks (QDNNs) are necessary for lowpower, high...
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Overlapping Schwarz Decomposition for Nonlinear Optimal Control
We present an overlapping Schwarz decomposition algorithm for solving no...
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Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition
This paper presents unifying results for subspace identification (SID) a...
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On the Convergence of the Dynamic Inner PCA Algorithm
Dynamic inner principal component analysis (DiPCA) is a powerful method ...
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SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of LowPrecision Deep Neural Networks
Designing a deep neural network (DNN) with good generalization capabilit...
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Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks
Knowledge distillation (KD) is a very popular method for model size redu...
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Workloadaware Automatic Parallelization for MultiGPU DNN Training
Deep neural networks (DNNs) have emerged as successful solutions for var...
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Quantized neural network design under weight capacity constraint
The complexity of deep neural network algorithms for hardware implementa...
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Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks
Gesture recognition is a very essential technology for many wearable dev...
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FixedPoint Performance Analysis of Recurrent Neural Networks
Recurrent neural networks have shown excellent performance in many appli...
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Resiliency of Deep Neural Networks under Quantization
The complexity of deep neural network algorithms for hardware implementa...
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Sungho Shin
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