deep neural networks
PulseAugur coverage of deep neural networks — every cluster mentioning deep neural networks across labs, papers, and developer communities, ranked by signal.
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New metric quantifies deep learning generalization failure
Researchers have introduced Decision Pattern Shift (DPS), a novel metric to analyze how deep neural networks' internal decision-making processes change from training to testing. This approach quantifies generalization f…
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AI hallucinations in imaging linked to inverse problem limits
Researchers have developed a theoretical framework to understand and quantify "hallucinations" in AI models used for inverse problems, such as medical imaging. The study shows that these realistic but incorrect details …
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Study evaluates transfer learning for deep neural networks in image classification
Researchers explored how to best select pre-trained deep neural networks for image classification tasks. They adapted eleven models, originally trained on ImageNet, to five distinct target datasets. The study evaluated …
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Neuromorphic depth estimation uses event cameras with uncertainty modeling
Researchers have developed a neuromorphic approach to monocular depth estimation using event cameras, which offer advantages like high temporal resolution and dynamic range. Their deep neural network models predict per-…