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04/03/2023
Learning Sparsity of Representations with Discrete Latent Variables
Deep latent generative models have attracted increasing attention due to...
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10/15/2021
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction
In this paper we investigate a simple hypothesis for the Open Informatio...
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03/10/2021
A Relational-learning Perspective to Multi-label Chest X-ray Classification
Multi-label classification of chest X-ray images is frequently performed...
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03/13/2019
MMKG: Multi-Modal Knowledge Graphs
We present MMKG, a collection of three knowledge graphs that contain bot...
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06/08/2018
Contextual Hourglass Networks for Segmentation and Density Estimation
Hourglass networks such as the U-Net and V-Net are popular neural archit...
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05/08/2018
Learning Short-Cut Connections for Object Counting
Object counting is an important task in computer vision due to its growi...
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01/30/2018
TransRev: Modeling Reviews as Translations from Users to Items
The text of a review expresses the sentiment a customer has towards a pa...
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01/24/2018
The challenge of simultaneous object detection and pose estimation: a comparative study
Detecting objects and estimating their pose remains as one of the major ...
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09/07/2017