Sebastian is a Research Scientist and Manager at Facebook AI Research, and a faculty member at University College London. Prior to that, he was a postdoc at UMass and the University of Tokyo and studied for his Ph.D. at the University of Edinburgh.
December 23, 2020
Obtaining training data for Question Answering (QA) is time-consuming and resource-intensive, and existing QA datasets are only available for limited domains and languages. In this work, we explore to what extent high quality training data is…
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel,
December 23, 2020
December 23, 2020
Effective network congestion control strategies are key to keeping the Internet (or any large computer network) operational. Network congestion control has been dominated by hand-crafted heuristics for decades. Recently, Reinforcement Learning…
Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel,
December 23, 2020
December 23, 2020
Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks. Whilst learning linguistic knowledge, these models may also be storing relational knowledge present in the training…
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel,
December 23, 2020