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Scalable Graph Neural Networks for Heterogeneous Graphs
Graph neural networks (GNNs) are a popular class of parametric model for...
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Scheduling Real-time Deep Learning Services as Imprecise Computations
The paper presents an efficient real-time scheduling algorithm for intel...
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DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition
State-of-the-art video action recognition models with complex network ar...
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The Paradox of Information Access: Growing Isolation in the Age of Sharing
Modern online media, such as Twitter, Instagram, and YouTube, enable any...
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Disentangling Overlapping Beliefs by Structured Matrix Factorization
Much work on social media opinion polarization focuses on identifying se...
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On the parallels between Paxos and Raft, and how to port optimizations
In recent years, Raft has overtaken Paxos as the consensus algorithm of ...
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STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Recent advances in deep learning motivate the use of deep neural network...
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Supporting Very Large Models using Automatic Dataflow Graph Partitioning
There is a trend towards using very large deep neural networks (DNN) to ...
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Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling
Deep learning systems have become vital tools across many fields, but th...
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