-
Scalable Graph Neural Networks for Heterogeneous Graphs
Graph neural networks (GNNs) are a popular class of parametric model for...
11/19/2020 ∙ by Lingfan Yu, et al. ∙
0
∙
share
read it
-
Scheduling Real-time Deep Learning Services as Imprecise Computations
The paper presents an efficient real-time scheduling algorithm for intel...
11/02/2020 ∙ by Shuochao Yao, et al. ∙
5
∙
share
read it
-
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition
State-of-the-art video action recognition models with complex network ar...
06/13/2020 ∙ by Ziming Liu, et al. ∙
0
∙
share
read it
-
The Paradox of Information Access: Growing Isolation in the Age of Sharing
Modern online media, such as Twitter, Instagram, and YouTube, enable any...
04/04/2020 ∙ by Tarek Abdelzaher, et al. ∙
0
∙
share
read it
-
Disentangling Overlapping Beliefs by Structured Matrix Factorization
Much work on social media opinion polarization focuses on identifying se...
02/13/2020 ∙ by Chaoqi Yang, et al. ∙
0
∙
share
read it
-
On the parallels between Paxos and Raft, and how to port optimizations
In recent years, Raft has overtaken Paxos as the consensus algorithm of ...
05/26/2019 ∙ by Zhaoguo Wang, et al. ∙
0
∙
share
read it
-
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...
02/21/2019 ∙ by Shuochao Yao, et al. ∙
6
∙
share
read it
-
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
There is a trend towards using very large deep neural networks (DNN) to ...
07/24/2018 ∙ by Minjie Wang, et al. ∙
0
∙
share
read it
-
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling
Deep learning systems have become vital tools across many fields, but th...
05/10/2018 ∙ by Minjie Wang, et al. ∙
0
∙
share
read it
