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12/17/2020
Attention-based Image Upsampling
Convolutional layers are an integral part of many deep neural network so...
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11/03/2020
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs
This paper presents a dynamic network rewiring (DNR) method to generate ...
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08/11/2020
Hybrid Ranking Network for Text-to-SQL
In this paper, we study how to leverage pre-trained language models in T...
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01/29/2020
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit
Single flux quantum (SFQ) circuits are an attractive beyond-CMOS technol...
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01/29/2020
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
The high energy cost of processing deep convolutional neural networks im...
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10/02/2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
The high demand for computational and storage resources severely impede ...
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10/02/2019
A Pre-defined Sparse Kernel Based Convolutionfor Deep CNNs
The high demand for computational and storage resources severely impede ...
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11/02/2018
Exploiting Explicit Paths for Multi-hop Reading Comprehension
We focus on the task of multi-hop reading comprehension where a system i...
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05/31/2018
A Highly Parallel FPGA Implementation of Sparse Neural Network Training
We demonstrate an FPGA implementation of a parallel and reconfigurable a...
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01/25/2018