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MK-SQuIT: Synthesizing Questions using Iterative Template-filling
BenjaminA.Spiegel, VincentCheong, JamesE.Kaplan....
Published date-11/04/2020
MachineTranslation
The aim of this work is to create a framework for synthetically generating question/query pairs with as little human input as possible. These datasets can be used to train machine …
Learning and Evaluating Representations for Deep One-class Classification
KihyukSohn, Chun-LiangLi, JinsungYoon....
Published date-11/04/2020
ContrastiveLearning, DataAugmentation, DecisionMaking, One-classclassifier
We present a two-stage framework for deep one-class classification. We first learn self-supervised representations from one-class data, and then build one-class classifiers on learned representations. The framework not only allows …
Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
QiKuang, XinJin, QinpingZhao....
Published date-11/04/2020
VideoClassification
Despite the growing number of unmanned aerial vehicles (UAVs) and aerial videos, there is a paucity of studies focusing on the aesthetics of aerial videos that can provide valuable information …
Deoscillated Graph Collaborative Filtering
ZhiweiLiu, LinMeng, JiaweiZhang....
Published date-11/04/2020
RecommendationSystems
Collaborative Filtering (CF) signals are crucial for a Recommender System~(RS) model to learn user and item embeddings. High-order information can alleviate the cold-start issue of CF-based methods, which is modelled …
Re-Assessing the "Classify and Count" Quantification Method
AlejandroMoreo, FabrizioSebastiani....
Published date-11/04/2020
SentimentAnalysis
Learning to quantify (a.k.a.\ quantification) is a task concerned with training unbiased estimators of class prevalence via supervised learning. This task originated with the observation that "Classify and Count" (CC), …
Mutual Modality Learning for Video Action Classification
StepanKomkov, MaksimDzabraev, AleksandrPetiushko....
Published date-11/04/2020
ActionClassification, ActionClassification, ActionRecognition, OpticalFlowEstimation
The construction of models for video action classification progresses rapidly. However, the performance of those models can still be easily improved by ensembling with the same models trained on different …