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Gradient descent with nonconvex constraints: local concavity determines convergence
Free accessArXiv | 2017| -
Interpreting and Improving Deep-Learning Models with Reality Checks
Free accessSpringer Verlag | 2022| -
Interpreting and Improving Deep-Learning Models with Reality Checks
British Library Conference Proceedings | 2022| -
An equivalence between critical points for rank constraints versus low-rank factorizations
Free accessArXiv | 2018| -
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Free accessArXiv | 2023| -
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
Free accessArXiv | 2023| -
Adaptive wavelet distillation from neural networks through interpretations
Free accessArXiv | 2021| -
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization
Free accessArXiv | 2018|
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