Complex Embeddings for Simple Link Prediction
ness and parameter space size is the keystone of embedding models. In this work we argue that the standard dot product between ... and an imaginary vector component Im(x). With complex numbers, the dot product, also called the Hermitian product, or sesquilinear form, is defined as:
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TPOT: A Tree-based Pipeline Optimization Tool for ...
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Wasserstein Generative Adversarial Networks
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Self-Attention Generative Adversarial Networks
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On the di culty of training recurrent neural networks
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Deep Gaussian Processes
proceedings.mlr.pressrepresentational power of a Gaussian process in the same role is significantly greater than that of an RBM. For the GP the corresponding likelihood is over a continuous vari-able, but it is a nonlinear function of the inputs, p(yjx) = N yjf(x);˙2; where N j ;˙2 is a Gaussian density with mean and variance ˙2. In this case the likelihood is ...
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Gender Shades: Intersectional Accuracy Disparities in ...
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