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Found 4 papers, 1 papers with code
Deep Probabilistic Movement Primitives with a Bayesian Aggregator
Movement primitives are trainable parametric models that reproduce robotic movements starting from a limited set of demonstrations.
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
In this work we exploit a newly-created Arabic dataset with ground truth age and gender labels to learn these attributes both individually and in a multi-task setting at the sentence level.
Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation
We investigate the utility of neural machine translation on three low-resource, similar language pairs: Spanish {--} Portuguese, Czech {--} Polish, and Hindi {--} Nepali.
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
We present a new emulator, Iroko, which we developed to support different network topologies, congestion control algorithms, and deployment scenarios.
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