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Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
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For object recognition convolutional neural networks, the shape bias leads to greater robustness against style and pattern change distraction.
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b4baac5d3f7508a4eb2b65376470a5a2-Paper-Conference.pdf
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In traditional federated learning, the entire parameter set of local models is updated and averaged in each training round.
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Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction Anagh Malik
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The ability to sense and reconstruct 3D appearance and geometry is critical to applications in vision, graphics, and beyond.
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