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Graph convolutions that can finally model local structure
RémyBrossard, OrielFrigo, DavidDehaene....
Published date-11/30/2020
Despite quick progress in the last few years, recent studies have shown that modern graph neural networks can still fail at very simple tasks, like detecting small cycles. This hints …
Deep Implicit Templates for 3D Shape Representation
ZerongZheng, TaoYu, QionghaiDai....
Published date-11/30/2020
3DShapeRepresentation
Deep implicit functions (DIFs), as a kind of 3D shape representation, are becoming more and more popular in the 3D vision community due to their compactness and strong representation power. …
A Targeted Universal Attack on Graph Convolutional Network
JiazhuDai, WeifengZhu, XiangfengLuo....
Published date-11/29/2020
AdversarialAttack
Graph-structured data exist in numerous applications in real life. As a state-of-the-art graph neural network, the graph convolutional network (GCN) plays an important role in processing graph-structured data. However, a …
Intrinsic Knowledge Evaluation on Chinese Language Models
ZhiruoWang, RenfenHu....
Published date-11/29/2020
Recent NLP tasks have benefited a lot from pre-trained language models (LM) since they are able to encode knowledge of various aspects. However, current LM evaluations focus on downstream performance, …
Intrinsic Decomposition of Document Images In-the-Wild
SagnikDas, HassanAhmedSial, KeMa....
Published date-11/29/2020
IntrinsicImageDecomposition, OpticalCharacterRecognition, ShadowRemoval
Automatic document content processing is affected by artifacts caused by the shape of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on real data are impossible due …
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
MeiqiGuo, RebeccaHwa, Yu-RuLin....
Published date-11/29/2020
We investigate the impact of political ideology biases in training data. Through a set of comparison studies, we examine the propagation of biases in several widely-used NLP models and its …