Kolda
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
Rico Angell, Daniel R. Sheldon
Neural Information Processing Systems http://nips.cc/
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Activation Map Compression through Tensor Decomposition for Deep Learning
The application of low-order decomposition results in considerable memory savings while preserving the features essential for learning, and also offers theoretical guarantees to convergence.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
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Knowledge Graph Completion by Intermediate Variables Regularization
Existing regularization methods merely minimize the norms of embeddings to regularize the model, leading to suboptimal performance.
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.46)
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Many-body Approximation for Non-negative Tensors
We present an alternative approach to decompose non-negative tensors, called many-body approximation .
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Faster approximate subgraph counts with privacy
These counts have very high global sensitivity.
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