23 citations · 41 across the 9 of their papers we have counts for
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cs.CR2021
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Jialuo Chen, Jingyi Wang, Tinglan Peng +6
Deep learning (DL) models, especially those large-scale and high-performance ones, can be very costly to train, demanding a great amount of data and computational resources. Unauth…
cs.CV2021
Dynamic Multi-Scale Loss Optimization for Object Detection
Yihao Luo, Xiang Cao, Juntao Zhang +3
With the continuous improvement of the performance of object detectors via advanced model architectures, imbalance problems in the training process have received more attention. It…
cs.DC2021★ 1 cited
CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
Cheng Luo, Lei Qu, Youshan Miao +2
Distributed deep learning workloads include throughput-intensive training tasks on the GPU clusters, where the Distributed Stochastic Gradient Descent (SGD) incurs significant comm…