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EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications


Authors:  MinghuiQiu, PengLi, HanjiePan....
Published date-11/18/2020
Tasks:  QuestionAnswering, TransferLearning

Abstract: The literature has witnessed the success of applying deep Transfer Learning (TL) algorithms to many NLP applications, yet it is not easy to build a simple and scalable TL toolkit …

Distributed Scheduling using Graph Neural Networks


Authors:  ZhongyuanZhao, GunjanVerma, ChiragRao....
Published date-11/18/2020

Abstract: A fundamental problem in the design of wireless networks is to efficiently schedule transmission in a distributed manner. The main challenge stems from the fact that optimal link scheduling involves …

TJU-DHD: A Diverse High-Resolution Dataset for Object Detection


Authors:  YanweiPang, JialeCao, YazhaoLi....
Published date-11/18/2020
Tasks:  ObjectDetection, PedestrianDetection

Abstract: Vehicles, pedestrians, and riders are the most important and interesting objects for the perception modules of self-driving vehicles and video surveillance. However, the state-of-the-art performance of detecting such important objects …

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data


Authors:  ZinaMIbrahim, DanielBean, ThomasSearle....
Published date-11/18/2020
Tasks:  DecisionMaking, OutlierDetection, outlierensembles, TimeSeries

Abstract: The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall …

Statistical model-based evaluation of neural networks


Authors:  SandipanDas, PrakashB.Gohain, AlirezaM.Javid....
Published date-11/18/2020

Abstract: Using a statistical model-based data generation, we develop an experimental setup for the evaluation of neural networks (NNs). The setup helps to benchmark a set of NNs vis-a-vis minimum-mean-square-error (MMSE) …

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning


Authors:  NickAngelou, AyoubBenaissa, BogdanCebere....
Published date-11/18/2020

Abstract: We present a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality (PSI-C). Our protocol combines traditional DDH-based PSI and PSI-C protocols with compression based on Bloom …

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