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Valuing Player Actions in Counter-Strike: Global Offensive
PeterXenopoulos, HarishDoraiswamy, ClaudioSilva....
Published date-11/02/2020
Esports, despite its expanding interest, lacks fundamental sports analytics resources such as accessible data or proven and reproducible analytical frameworks. Even Counter-Strike: Global Offensive (CSGO), the second most popular esport, …
Combining Event Semantics and Degree Semantics for Natural Language Inference
IzumiHaruta, KojiMineshima, DaisukeBekki....
Published date-11/02/2020
NaturalLanguageInference
In formal semantics, there are two well-developed semantic frameworks: event semantics, which treats verbs and adverbial modifiers using the notion of event, and degree semantics, which analyzes adjectives and comparatives …
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
BrihiJoshi, NeilShah, FrancescoBarbieri....
Published date-11/02/2020
QuestionAnswering, SentimentAnalysis
Contextual embeddings derived from transformer-based neural language models have shown state-of-the-art performance for various tasks such as question answering, sentiment analysis, and textual similarity in recent years. Extensive work shows …
Multi-View Adaptive Fusion Network for 3D Object Detection
GuojunWang, BinTian, YachenZhang....
Published date-11/02/2020
3DObjectDetection, AutonomousDriving, FeatureImportance, ObjectDetection
3D object detection based on LiDAR-camera fusion is becoming an emerging research theme for autonomous driving. However, it has been surprisingly difficult to effectively fuse both modalities without information loss …
Exact Asymptotics for Linear Quadratic Adaptive Control
FeichengWang, LucasJanson....
Published date-11/02/2020
Recent progress in reinforcement learning has led to remarkable performance in a range of applications, but its deployment in high-stakes settings remains quite rare. One reason is a limited understanding …
Causal Campbell-Goodhart's law and Reinforcement Learning
HalAshton....
Published date-11/02/2020
CausalInference, DecisionMaking
Campbell-Goodhart's law relates to the causal inference error whereby decision-making agents aim to influence variables which are correlated to their goal objective but do not reliably cause it. This is …