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nnU-Net for Brain Tumor Segmentation
FabianIsensee, PaulF.Jaeger, PeterM.Full....
Published date-11/02/2020
BrainTumorSegmentation, DataAugmentation, TumorSegmentation
We apply nnU-Net to the segmentation task of the BraTS 2020 challenge. The unmodified nnU-Net baseline configuration already achieves a respectable result. By incorporating BraTS-specific modifications regarding postprocessing, region-based training, …
Multi-Agent Reinforcement Learning for Persistent Monitoring
JingxiChen, AmrishBaskaran, ZhongshunZhang....
Published date-11/02/2020
Multi-agentReinforcementLearning
The Persistent Monitoring (PM) problem seeks to find a set of trajectories (or controllers) for robots to persistently monitor a changing environment. Each robot has a limited field-of-view and may …
ABNIRML: Analyzing the Behavior of Neural IR Models
SeanMacAvaney, SergeyFeldman, NazliGoharian....
Published date-11/02/2020
LanguageModelling
Numerous studies have demonstrated the effectiveness of pretrained contextualized language models such as BERT and T5 for ad-hoc search. However, it is not well-understood why these methods are so effective, …
Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
AntonSmerdov, BoZhou, PaulLukowicz....
Published date-11/02/2020
LeagueofLegends
Proper training and analytics in eSports require accurately collected and annotated data. Most eSports research focuses exclusively on in-game data analysis, and there is a lack of prior work involving …
Instance based Generalization in Reinforcement Learning
MartinBertran, NataliaMartinez, MarianoPhielipp....
Published date-11/02/2020
Agents trained via deep reinforcement learning (RL) routinely fail to generalize to unseen environments, even when these share the same underlying dynamics as the training levels. Understanding the generalization properties …
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding
Chao-WeiHuang, Yun-NungChen....
Published date-11/02/2020
NaturalLanguageUnderstanding, SpeechRecognition, SpokenLanguageUnderstanding
Lattices are compact representations that encode multiple hypotheses, such as speech recognition results or different word segmentations. It is shown that encoding lattices as opposed to 1-best results generated by …