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HAWQV3: Dyadic Neural Network Quantization
Quantization is one of the key techniques used to make Neural Networks (...
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Recognition Oriented Iris Image Quality Assessment in the Feature Space
A large portion of iris images captured in real world scenarios are poor...
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Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Face anti-spoofing is the key to preventing security breaches in biometr...
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Fast Gunrock Subgraph Matching (GSM) on GPUs
In this paper, we propose a novel method, GSM (Gunrock Subgraph Matching...
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Fast BFS-Based Triangle Counting on GPUs
In this paper, we propose a novel method to compute triangle counting on...
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A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
Modern deep learning applications urge to push the model inference takin...
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A Comparative Study on Exact Triangle Counting Algorithms on the GPU
We implement exact triangle counting in graphs on the GPU using three di...
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TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
There is an increasing need to bring machine learning to a wide diversit...
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TVM: End-to-End Optimization Stack for Deep Learning
Scalable frameworks, such as TensorFlow, MXNet, Caffe, and PyTorch drive...
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