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05/25/2021
No Deal: Investigating the Influence of Restricted Access to Elsevier Journals on German Researchers' Publishing and Citing Behaviours
In 2014, a union of German research organisations established Projekt DE...
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03/26/2021
What happens when a journal converts to Open Access? A bibliometric analysis
In recent years, increased stakeholder pressure to transition research t...
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11/14/2020
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA
Custom dataflow Convolutional Neural Network (CNN) inference accelerator...
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03/27/2019
From closed to open access: A case study of flipped journals
In recent years, increased stakeholder pressure to transition research t...
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09/12/2018
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Convolutional Neural Networks have rapidly become the most successful ma...
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07/01/2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
Inference for state-of-the-art deep neural networks is computationally e...
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06/21/2018
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices
Neural networks have established as a generic and powerful means to appr...
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05/21/2018
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines
Deep learning as a means to inferencing has proliferated thanks to its v...
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09/19/2017