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Near-Optimal Sparse Allreduce for Distributed Deep Learning

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

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions

Empirical observation of high dimensional phenomena, such as the double ...

Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias

Deep learning models have shown great potential for image-based diagnosi...

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

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

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

Sentiment analysis is one of the most widely studied applications in NLP...

Hardware-Efficient Deconvolution-Based GAN for Edge Computing

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