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Found 7 papers, 2 papers with code
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
In this new design, the multipliers are replaced by simple logic gates to project the results onto a wide bit representation.
Class-Aware Pruning for Efficient Neural Networks
The filters that are only important for a few number of classes are removed.
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation
In conventional ONNs, light amplitudes are modulated at the input and detected at the output.
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks
Deep neural networks (DNNs) have been widely deployed across diverse domains such as computer vision and natural language processing.
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement
In such platforms, neural networks need to provide acceptable results quickly and the accuracy of the results should be able to be enhanced dynamically according to the computational resources available in the computing system.
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt
In this paper, we propose an end-to-end neural network architecture, referred to as optimal transport based feature pyramid fusion (OTFPF) network, for the brain age estimation with T1 MRIs.
Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network
Worst-case dynamic PDN noise analysis is an essential step in PDN sign-off to ensure the performance and reliability of chips.
