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Multilingual Irony Detection with Dependency Syntax and Neural Models
AlessandraTeresaCignarella, ValerioBasile, ManuelaSanguinetti....
Published date-11/11/2020
WordEmbeddings
This paper presents an in-depth investigation of the effectiveness of dependency-based syntactic features on the irony detection task in a multilingual perspective (English, Spanish, French and Italian). It focuses on …
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
PierreAumjaud, DavidMcAuliffe, FranciscoJavierRodríguezLera....
Published date-11/11/2020
Reinforcement learning has shown great promise in robotics thanks to its ability to develop efficient robotic control procedures through self-training. In particular, reinforcement learning has been successfully applied to solving …
Invertible CNN-Based Super Resolution with Downsampling Awareness
AndrewGeiss, JosephC.Hardin....
Published date-11/11/2020
ImageSuper-Resolution, SuperResolution, Super-Resolution
Single image super resolution involves artificially increasing the resolution of an image. Recently, convolutional neural networks have been demonstrated as very powerful tools for this problem. These networks are typically …
Clustering of Big Data with Mixed Features
JoshuaTobin, MimiZhang....
Published date-11/11/2020
Clustering
Clustering large, mixed data is a central problem in data mining. Many approaches adopt the idea of k-means, and hence are sensitive to initialisation, detect only spherical clusters, and require …
Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning
TeguhSantosoLembono, EmmanuelPignat, JuliusJankowski....
Published date-11/11/2020
MotionPlanning
In high dimensional robotic system, the manifold of the valid configuration space often has complex shape, especially under constraints such as end-effector orientation, static stability, and obstacles. We propose a …
Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks
NiallJeffrey, BenjaminD.Wandelt....
Published date-11/11/2020
DensityEstimation, TimeSeries
High-dimensional probability density estimation for inference suffers from the "curse of dimensionality". For many physical inference problems, the full posterior distribution is unwieldy and seldom used in practice. Instead, we …