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AML-SVM: Adaptive Multilevel Learning with Support Vector Machines
EhsanSadrfaridpour, KoreyPalmer, IlyaSafro....
Published date-11/05/2020
The support vector machines (SVM) is one of the most widely used and practical optimization based classification models in machine learning because of its interpretability and flexibility to produce high …
Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
OmkarRanadive, SuzanvanderLee, VivianTang....
Published date-11/05/2020
We present the Earthquake Detective dataset - A crowdsourced set of labels on potentially triggered (PT) earthquakes and tremors. These events are those which may have been triggered by large …
Context-Aware Answer Extraction in Question Answering
YeonSeonwoo, Ji-HoonKim, Jung-WooHa....
Published date-11/05/2020
Multi-TaskLearning, QuestionAnswering, ReadingComprehension
Extractive QA models have shown very promising performance in predicting the correct answer to a question for a given passage. However, they sometimes result in predicting the correct answer text …
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning
RinuBoney, JussiSainio, MikkoKaivola....
Published date-11/05/2020
Current robot platforms available for research are either very expensive or unable to handle the abuse of exploratory controls in reinforcement learning. We develop RealAnt, a minimal low-cost physical version …
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering
MomchilHardalov, TodorMihaylov, DimitrinaZlatkova....
Published date-11/05/2020
QuestionAnswering, TransferLearning
We propose EXAMS -- a new benchmark dataset for cross-lingual and multilingual question answering for high school examinations. We collected more than 24,000 high-quality high school exam questions in 16 …
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples
PaulPrimus, VerenaHaunschmid, PatrickPraher....
Published date-11/05/2020
AnomalyDetection
Unsupervised anomalous sound detection is concerned with identifying sounds that deviate from what is defined as 'normal', without explicitly specifying the types of anomalies. A significant obstacle is the diversity …