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London

Machel Reid

Elite
@machelreid

Research Scientist @google-deepmind

can-wikipedia-help-offline-rl. Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu

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diffuser. DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)

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m2d2. M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer

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lewis. Official code for LEWIS, from: "LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer", ACL-IJCNLP 2021 Findings by Machel Reid and Victor Zhong

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editpro. Learning to Model Editing Processes

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subformer. The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

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vcdm. The official implementation for "VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling", EMNLP 2020

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afromt. Code for the EMNLP 2021 Paper "AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages" by Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo

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paradise. PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining (NAACL 2022), Machel Reid and Mikel Artetxe

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abci-utils. Utils for ABCI (https://abci.ai/) cluster

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twitter-search-api. Twitter Search API (open-source). Project developed as part of internship with Numada Lab with Professor Muneyoshi Numada at the University of Tokyo

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