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07/26/2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
Advanced tensor decomposition, such as Tensor train (TT) and Tensor ring...
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03/28/2021
Noise Injection-based Regularization for Point Cloud Processing
Noise injection-based regularization, such as Dropout, has been widely u...
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02/08/2021
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
Recently deep neural networks have been successfully applied in channel ...
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04/23/2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Deep neural network (DNN) has emerged as the most important and popular ...
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01/11/2020
Embedding Compression with Isotropic Iterative Quantization
Continuous representation of words is a standard component in deep learn...
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12/16/2019
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
Deep neural networks (DNNs) are vulnerable to adversarial attack despite...
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02/28/2019
CircConv: A Structured Convolution with Low Complexity
Deep neural networks (DNNs), especially deep convolutional neural networ...
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02/18/2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework
Hardware accelerations of deep learning systems have been extensively in...
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08/29/2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Large-scale deep neural networks (DNNs) are both compute and memory inte...
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03/01/2017
