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Found 3 papers, 1 papers with code
TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks
In the first stage, we propose a novel algorithm called polar decomposition-based orthogonal initialization (PDOI) to find a good initialization for the orthogonal optimization.
Data-free Backdoor Removal based on Channel Lipschitzness
Pruning these channels was then shown to be effective in mitigating the backdoor behaviors.
Point cloud denoising based on tensor Tucker decomposition
In this paper, we propose a new algorithm for point cloud denoising based on the tensor Tucker decomposition.
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