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Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories
JakobPrange, NathanSchneider, VivekSrikumar....
Published date-12/02/2020
StructuredPrediction
Although current CCG supertaggers achieve high accuracy on the standard WSJ test set, few systems make use of the categories' internal structure that will drive the syntactic derivation during parsing. …
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
SebastianBullinger, ChristophBodensteiner, MichaelArens....
Published date-12/02/2020
StructurefromMotion
We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera and motion tracking. …
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans
AramTer-Sarkisov....
Published date-12/02/2020
COVID-19Diagnosis
We introduce a lightweight model based on Mask R-CNN with ResNet18 and ResNet34 backbone models that segments lesions and predicts COVID-19 from chest CT scans in a single shot. The …
Learning Spatial Attention for Face Super-Resolution
ChaofengChen, DihongGong, HaoWang....
Published date-12/02/2020
ImageSuper-Resolution, Multi-TaskLearning, SSIM, SuperResolution, Super-Resolution
General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods tailored for face images have achieved improved …
Residuals-based distributionally robust optimization with covariate information
RohitKannan, GüzinBayraksan, JamesR.Luedtke....
Published date-12/02/2020
We consider data-driven approaches that integrate a machine learning prediction model within distributionally robust optimization (DRO) given limited joint observations of uncertain parameters and covariates. Our framework is flexible in …
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures
MustafaHajij, GhadaZamzmi, MatthewDawson....
Published date-12/02/2020
One of the central problems in the interface of deep learning and mathematics is that of building learning systems that can automatically uncover underlying mathematical laws from observed data. In …