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Fixing the problems of deep neural networks will require better training data and learning algorithms

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Fixing the problems of deep neural networks will require better training data and learning algorithms

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Efficient Transformer-Based Speech Recognition

Trace norm regularization for multi-task learning with scarce data

COBRA: Enhancing DNN Latency Prediction with Language Models trained on Source Code

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Subquadratic Overparameterization for Shallow Neural Networks