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A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
Leyuan Wang, Zhi Chen, Yizhi Liu +4
Modern deep learning applications urge to push the model inference taking place at the edge devices for multiple reasons such as achieving shorter latency, relieving the burden of…
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
Haibin Lin, Hang Zhang, Yifei Ma +4
With an increasing demand for training powers for deep learning algorithms and the rapid growth of computation resources in data centers, it is desirable to dynamically schedule di…
Language Models with Transformers
Chenguang Wang, Mu Li, Alexander J. Smola
The Transformer architecture is superior to RNN-based models in computational efficiency. Recently, GPT and BERT demonstrate the efficacy of Transformer models on various NLP tasks…
Bag of Freebies for Training Object Detection Neural Networks
Zhi Zhang, Tong He, Hang Zhang +3
Training heuristics greatly improve various image classification model accuracies~\cite{he2018bag}. Object detection models, however, have more complex neural network structures an…