Search Results for author:
Found 4 papers, 1 papers with code
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation
In this paper, we propose the use of in-training matrix factorization to reduce the model size for neural machine translation.
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
Tartan is a non-goal-oriented socialbot focused around providing users with an engaging and fluent casual conversation.
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
In this paper we present Horizon, Facebook's open source applied reinforcement learning (RL) platform.
Handling Cold-Start Collaborative Filtering with Reinforcement Learning
A major challenge in recommender systems is handling new users, whom are also called $\textit{cold-start}$ users.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
