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Found 2 papers, 1 papers with code
Balancing Act: Constraining Disparate Impact in Sparse Models
Model pruning is a popular approach to enable the deployment of large deep learning models on edge devices with restricted computational or storage capacities.
Adaptive Learning of Tensor Network Structures
However, identifying the best tensor network structure from data for a given task is challenging.
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