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Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
SohamGadgil, YunfengXin, ChengzheXu....
Published date-11/24/2020
Q-Learning
Reinforcement Learning (RL) is an area of machine learning concerned with enabling an agent to navigate an environment with uncertainty in order to maximize some notion of cumulative long-term reward. …
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis
MichaelA.Lepori, R.ThomasMcCoy....
Published date-11/24/2020
As the name implies, contextualized representations of language are typically motivated by their ability to encode context. Which aspects of context are captured by such representations? We introduce an approach …
Energy-Based Models for Continual Learning
ShuangLi, YilunDu, GidoM.vandeVen....
Published date-11/24/2020
ContinualLearning
We motivate Energy-Based Models (EBMs) as a promising model class for continual learning problems. Instead of tackling continual learning via the use of external memory, growing models, or regularization, EBMs …
RIN: Textured Human Model Recovery and Imitation with a Single Image
HaoxiRan, GuangfuWang, LiLu....
Published date-11/24/2020
Human imitation has become topical recently, driven by GAN's ability to disentangle human pose and body content. However, the latest methods hardly focus on 3D information, and to avoid self-occlusion, …
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
WoohwanJung, KyuseokShim....
Published date-11/24/2020
RelationExtraction
Relation extraction (RE) has been extensively studied due to its importance in real-world applications such as knowledge base construction and question answering. Most of the existing works train the models …
LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
FangzhouHong, HuiZhou, XingeZhu....
Published date-11/24/2020
AutonomousDriving, Clustering, PanopticSegmentation
With the rapid advances of autonomous driving, it becomes critical to equip its sensing system with more holistic 3D perception. However, existing works focus on parsing either the objects (e.g. …