219 citations · 1.2k across the 79 of their papers we have counts for
12 papers · 1 filter
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems
Haoxiang Zhang, Juliana Freire, Yash Garg
Recent advancements in software and hardware technologies have enabled the use of AI/ML models in everyday applications has significantly improved the quality of service rendered.…
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei Dai, Yi Zhou, Nanqing Dong +2
Many distributed machine learning (ML) systems adopt the non-synchronous execution in order to alleviate the network communication bottleneck, resulting in stale parameters that do…
AutoLoss: Learning Discrete Schedules for Alternate Optimization
Haowen Xu, Hao Zhang, Zhiting Hu +3
Many machine learning problems involve iteratively and alternately optimizing different task objectives with respect to different sets of parameters. Appropriately scheduling the o…
Nearly-tight bounds on linear regions of piecewise linear neural networks
Qiang Hu, Hao Zhang
The developments of deep neural networks (DNN) in recent years have ushered a brand new era of artificial intelligence. DNNs are proved to be excellent in solving very complex prob…
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks
Hao Zhang, Shizhen Xu, Graham Neubig +4
Recent deep learning (DL) models have moved beyond static network architectures to dynamic ones, handling data where the network structure changes every example, such as sequences…
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang +4
We study the problem of conditional generative modeling based on designated semantics or structures. Existing models that build conditional generators either require massive labele…