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Convolutional 2D Knowledge Graph Embeddings
Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link prediction has focused on shallow, fast models which can scale to largeExpand
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  • Open Access
Sparse Networks from Scratch: Faster Training without Losing Performance
We demonstrate the possibility of what we call sparse learning: accelerated training of deep neural networks that maintain sparse weights throughout training while achieving performance levelsExpand
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  • Open Access
8-Bit Approximations for Parallelism in Deep Learning
The creation of practical deep learning data-products often requires parallelization across processors and computers to make deep learning feasible on large data sets, but bottlenecks inExpand
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  • Open Access
Jack the Reader - A Machine Reading Framework
Many Machine Reading and Natural Language Understanding tasks require reading supporting text in order to answer questions. For example, in Question Answering, the supporting text can be newswire orExpand
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  • Open Access
Jack the Reader -- A Framework for Machine Reading