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Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
AnnetteRios, MathiasMüller, RicoSennrich....
Published date-11/03/2020
MachineTranslation
Zero-shot neural machine translation is an attractive goal because of the high cost of obtaining data and building translation systems for new translation directions. However, previous papers have reported mixed …
Tabular Transformers for Modeling Multivariate Time Series
InkitPadhi, YairSchiff, IgorMelnyk....
Published date-11/03/2020
FraudDetection, SyntheticDataGeneration, TimeSeries
Tabular datasets are ubiquitous in data science applications. Given their importance, it seems natural to apply state-of-the-art deep learning algorithms in order to fully unlock their potential. Here we propose …
Control with adaptive Q-learning
JoãoPedroAraújo, MárioA.T.Figueiredo, MiguelAyalaBotto....
Published date-11/03/2020
OpenAIGym, Q-Learning
This paper evaluates adaptive Q-learning (AQL) and single-partition adaptive Q-learning (SPAQL), two algorithms for efficient model-free episodic reinforcement learning (RL), in two classical control problems (Pendulum and Cartpole). AQL adaptively …
Single Image Human Proxemics Estimation for Visual Social Distancing
MayaAghaei, MatteoBustreo, YimingWang....
Published date-11/03/2020
In this work, we address the problem of estimating the so-called "Social Distancing" given a single uncalibrated image in unconstrained scenarios. Our approach proposes a semi-automatic solution to approximate the …
Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems
StéphanedAscoli, AliceCoucke, FrancescoCaltagirone....
Published date-11/03/2020
DataAugmentation, LanguageModelling, Task-OrientedDialogueSystems, TextGeneration
Scarcity of training data for task-oriented dialogue systems is a well known problem that is usually tackled with costly and time-consuming manual data annotation. An alternative solution is to rely …
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
RajatSharma, NikhilReddy, VidhyaKamakshi....
Published date-11/03/2020
The paper introduces a novel framework for extracting model-agnostic human interpretable rules to explain a classifier's output. The human interpretable rule is defined as an axis-aligned hyper-cuboid containing the instance …