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Near-Optimal Sparse Allreduce for Distributed Deep Learning

Communication overhead is one of the major obstacles to train large deep...

A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis

In biomedical image analysis, the applicability of deep learning methods...

Hardware-Efficient Deconvolution-Based GAN for Edge Computing

Generative Adversarial Networks (GAN) are cutting-edge algorithms for ge...

Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

Neuroevolution has recently been shown to be quite competitive in reinfo...

A Survey of Pretrained Language Models Based Text Generation

Text Generation aims to produce plausible and readable text in human lan...

Online Time Series Anomaly Detection with State Space Gaussian Processes

We propose r-ssGPFA, an unsupervised online anomaly detection model for ...