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DeepMind Lab2D
CharlesBeattie, ThomasKöppe, EdgarA.Duéñez-Guzmán....
Published date-11/13/2020
We present DeepMind Lab2D, a scalable environment simulator for artificial intelligence research that facilitates researcher-led experimentation with environment design. DeepMind Lab2D was built with the specific needs of multi-agent deep …
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling
ShrutiBhosale, KyraYee, SergeyEdunov....
Published date-11/13/2020
MachineTranslation
Pre-training models on vast quantities of unlabeled data has emerged as an effective approach to improving accuracy on many NLP tasks. On the other hand, traditional machine translation has a …
Cross-Domain Learning for Classifying Propaganda in Online Contents
LiqiangWang, XiaoyuShen, GerarddeMelo....
Published date-11/13/2020
As news and social media exhibit an increasing amount of manipulative polarized content, detecting such propaganda has received attention as a new task for content analysis. Prior work has focused …
Multi-layered tensor networks for image classification
RaghavendraSelvan, SilasØrting, ErikBDam....
Published date-11/13/2020
ImageClassification, TensorNetworks
The recently introduced locally orderless tensor network (LoTeNet) for supervised image classification uses matrix product state (MPS) operations on grids of transformed image patches. The resulting patch representations are combined …
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep …
MateuszBuda, AshirbaniSaha, RuthWalsh....
Published date-11/13/2020
Breast cancer screening is one of the most common radiological tasks with over 39 million exams performed each year. While breast cancer screening has been one of the most studied …
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
PaulaHarder, WilliamJones, RedouaneLguensat....
Published date-11/13/2020
SSIM
The recent explosion in applications of machine learning to satellite imagery often rely on visible images and therefore suffer from a lack of data during the night. The gap can …