low-rank approximation
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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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SeT AR: Out-of-Distribution Detection with Selective Low-Rank Approximation
SeT AR enhances OOD detection via post-hoc modification of the model's
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GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
Patrick Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
Neural Information Processing Systems http://nips.cc/
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Regularized Weighted Low Rank Approximation
Frank Ban, David Woodruff, Richard Zhang
Neural Information Processing Systems http://nips.cc/
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Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep K. Ravikumar
Neural Information Processing Systems http://nips.cc/
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