Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Automatic Binary Dataset Construction for Machine Learning
Neural Information Processing Systems
Binary analysis, the task of understanding and analyzing an executable binary program, is extraordinarily labor-intensive.
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6b7375226d4742ff910618a56ae72b7d-Paper-Conference.pdf
Neural Information Processing Systems
Nevertheless, the following questions still remain very relevant: 1. Large LRs are preferred but how large are we talking about? 2. What are the key characteristics of the models trained with different LRs?
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Towards Unsupervised Model Selection for Domain Adaptive Object Detection Hengfu Y u Jinhong Deng Wen Li
Neural Information Processing Systems
It suffers from performance degradation as the training goes on.
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