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Found 3 papers, 1 papers with code
Minimum Phase Linear Antenna Array Design
The paper considers the design of minimum phase discrete linear arrays.
Manifold Characteristics That Predict Downstream Task Performance
Pretraining methods are typically compared by evaluating the accuracy of linear classifiers, transfer learning performance, or visually inspecting the representation manifold's (RM) lower-dimensional projections.
DNNs as Layers of Cooperating Classifiers
A robust theoretical framework that can describe and predict the generalization ability of deep neural networks (DNNs) in general circumstances remains elusive.
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