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Found 6 papers, 1 papers with code
Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling
However, existing model serving systems cannot achieve adequate batch sizes while meeting latency objectives as these systems eagerly dispatch requests to accelerators to minimize the accelerator idle time.
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate.
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Focus handles the lower accuracy of the cheap CNNs by judiciously leveraging expensive CNNs at query-time.
Fast Video Classification via Adaptive Cascading of Deep Models
Recent advances have enabled "oracle" classifiers that can classify across many classes and input distributions with high accuracy without retraining.
Blending LSTMs into CNNs
We consider whether deep convolutional networks (CNNs) can represent decision functions with similar accuracy as recurrent networks such as LSTMs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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