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Found 5 papers, 0 papers with code
Upcycling Large Language Models into Mixture of Experts
Upcycling pre-trained dense language models into sparse mixture-of-experts (MoE) models is an efficient approach to increase the model capacity of already trained models.
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
Then we conducted a motion blur image generation experiment on some general facial data set, and used the pairs of blurred and sharp face image data to perform the training and testing experiments of the processor GAN, and gave some visual displays.
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
Convolutional neural networks (CNNs) have been used in many machine learning fields.
Min-Max-Plus Neural Networks
We present a new model of neural networks called Min-Max-Plus Neural Networks (MMP-NNs) based on operations in tropical arithmetic.
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
The last decade has witnessed growth in the computational requirements for training deep neural networks.
