4 papers
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation
Zachary Kaden, Teven Le Scao, Raphael Olivier
In this paper, we propose the use of in-training matrix factorization to reduce the model size for neural machine translation. Using in-training matrix factorization, parameter mat…
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
George Larionov, Zachary Kaden, Hima Varsha Dureddy +5
This paper describes the Tartan conversational agent built for the 2018 Alexa Prize Competition. Tartan is a non-goal-oriented socialbot focused around providing users with an enga…
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Jason Gauci, Edoardo Conti, Yitao Liang +7
In this paper we present Horizon, Facebook's open source applied reinforcement learning (RL) platform. Horizon is an end-to-end platform designed to solve industry applied RL probl…
Handling Cold-Start Collaborative Filtering with Reinforcement Learning
Hima Varsha Dureddy, Zachary Kaden
A major challenge in recommender systems is handling new users, whom are also called users. In this paper, we propose a novel approach for learning an optimal…