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Distributed Scheduling using Graph Neural Networks
ZhongyuanZhao, GunjanVerma, ChiragRao....
Published date-11/18/2020
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 …
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
JaeminNa, HeechulJung, HyungJinChang....
Published date-11/18/2020
DomainAdaptation, UnsupervisedDomainAdaptation
Unsupervised domain adaptation (UDA) methods for learning domain invariant representations have achieved remarkable progress. However, few studies have been conducted on the case of large domain discrepancies between a source …
Adaptive Contention Window Design using Deep Q-learning
AbhishekKumar, GunjanVerma, ChiragRao....
Published date-11/18/2020
Q-Learning
We study the problem of adaptive contention window (CW) design for random-access wireless networks. More precisely, our goal is to design an intelligent node that can dynamically adapt its minimum …
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
MinghuiQiu, PengLi, HanjiePan....
Published date-11/18/2020
QuestionAnswering, TransferLearning
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 …
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
YanweiPang, JialeCao, YazhaoLi....
Published date-11/18/2020
ObjectDetection, PedestrianDetection
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 …
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation
YukiFujimura, MotoharuSonogashira, MasaakiIiyama....
Published date-11/18/2020
3DReconstruction, DepthEstimation, ImageRestoration, StructurefromMotion
We propose a learning-based multi-view stereo (MVS) method in scattering media, such as fog or smoke, with a novel cost volume, called the dehazing cost volume. Images captured in scattering …