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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SyncVIS: Synchronized Video Instance Segmentation
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Also, we employ a synchronized embedding optimization strategy'Sync.
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GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
Patrick Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
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Fine-grained Optimization of Deep Neural Networks
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Neural Information Processing Systems http://nips.cc/
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Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
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If the required memory to train a model exceeds this limit, the device will be excluded from the training.
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Co-teaching: Robust training of deep neural networks with extremely noisy labels
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, Masashi Sugiyama
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Neural Information Processing Systems http://nips.cc/
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