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Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
TanmayGangwani, JianPeng, YuanZhou....
Published date-11/05/2020
Quality-Diversity (QD) is a concept from Neuroevolution with some intriguing applications to Reinforcement Learning. It facilitates learning a population of agents where each member is optimized to simultaneously accumulate high …
Disentangling Latent Space for Unsupervised Semantic Face Editing
KanglinLiu, GaofengCao, FeiZhou....
Published date-11/05/2020
ImageGeneration
Editing facial images created by StyleGAN is a popular research topic with important applications. Through editing the latent vectors, it is possible to control the facial attributes such as smile, …
Learning a Decentralized Multi-arm Motion Planner
HuyHa, JingxiXu, ShuranSong....
Published date-11/05/2020
MotionPlanning, Multi-agentReinforcementLearning
We present a closed-loop multi-arm motion planner that is scalable and flexible with team size. Traditional multi-arm robot systems have relied on centralized motion planners, whose runtimes often scale exponentially …
DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction
PeterBjørnJørgensen, ArghyaBhowmik....
Published date-11/04/2020
We introduce DeepDFT, a deep learning model for predicting the electronic charge density around atoms, the fundamental variable in electronic structure simulations from which all ground state properties can be …
Tweet Sentiment Quantification: An Experimental Re-Evaluation
AlejandroMoreo, FabrizioSebastiani....
Published date-11/04/2020
SentimentAnalysis
Sentiment quantification is the task of estimating the relative frequency (or "prevalence") of sentiment-related classes (such as Positive, Neutral, Negative) in a sample of unlabelled texts; this is especially important …
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss
YuanxinZhong, MinghanZhu, HueiPeng....
Published date-11/04/2020
3DObjectDetection, ObjectDetection, ObjectTracking
Object detection and tracking is a key task in autonomy. Specifically, 3D object detection and tracking have been an emerging hot topic recently. Although various methods have been proposed for …