
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multicore Systems
Highlevel applications, such as machine learning, are evolving from sim...
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Navigating the TradeOff between MultiTask Learning and Learning to Multitask in Deep Neural Networks
The terms multitask learning and multitasking are easily confused. Mult...
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Deep Graph Similarity Learning: A Survey
In many domains where data are represented as graphs, learning a similar...
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A singlelayer RNN can approximate stacked and bidirectional RNNs, and topologies in between
To enhance the expressiveness and representational capacity of recurrent...
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Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging
Magnetic resonance imaging is capable of producing volumetric images wit...
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OutofDistribution Detection Using an Ensemble of Self Supervised Leaveout Classifiers
As deep learning methods form a critical part in commercially important ...
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Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
For a deep learning model, efficient execution of its computation graph ...
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Learning Rolebased Graph Embeddings
Random walks are at the heart of many existing network embedding methods...
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Segmenting Brain Tumors with Symmetry
We explore encoding brain symmetry into a neural network for a brain tum...
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Inductive Representation Learning in Large Attributed Graphs
Graphs (networks) are ubiquitous and allow us to model entities (nodes) ...
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A Framework for Generalizing Graphbased Representation Learning Methods
Random walks are at the heart of many existing deep learning algorithms ...
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Revisiting Role Discovery in Networks: From Node to Edge Roles
Previous work in network analysis has focused on modeling the mixedmemb...
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A Searchlight Factor Model Approach for Locating Shared Information in MultiSubject fMRI Analysis
There is a growing interest in joint multisubject fMRI analysis. The ch...
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A Convolutional Autoencoder for MultiSubject fMRI Data Aggregation
Finding the most effective way to aggregate multisubject fMRI data is a...
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Enabling Factor Analysis on ThousandSubject Neuroimaging Datasets
The scale of functional magnetic resonance image data is rapidly increas...
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Graphlet Decomposition: Framework, Algorithms, and Applications
From social science to biology, numerous applications often rely on grap...
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Theodore L. Willke
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