9 citations · 16 across the 4 of their papers we have counts for
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cs.LG2021★ 2 cited
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs
Bryan Eikema, Germán Kruszewski, Hady Elsahar +1
Energy-Based Models (EBMs) allow for extremely flexible specifications of probability distributions. However, they do not provide a mechanism for obtaining exact samples from these…
cs.LG2017★ 9 cited
CommAI: Evaluating the first steps towards a useful general AI
Marco Baroni, Armand Joulin, Allan Jabri +4
With machine learning successfully applied to new daunting problems almost every day, general AI starts looking like an attainable goal. However, most current research focuses inst…