Source: ML Collective "Progress toward democratizing AI research has been centered around making knowledge (e.g. class materials), established ideas (e.g. papers), and technologies (e.g. code) more accessible. However, open, online resources are only part of the equation. Growth as a researcher requires not only learning by consuming information individually, but hands-on practice whiteboarding, coding, plotting, … Continue reading ICLR 2021 SOCIAL: OPEN COLLABORATION IN ML RESEARCH
WiML Japan was held during NeurIPS 2020 as part of the NeurIPS Japan Meetup program. For this session, we asked women in Machine Learning for advice, lessons they have learned, and what they would tell their younger selves.Tweet NeurIPS Japan Meetup program PDF (better quality) WiML-NeurIPS-Japan-MeetupDownload Anima Anandkumar Erin LeDell Danielle Belgrave Tarin Clanuwat Mounia … Continue reading WOMEN IN MACHINE LEARNING NEURIPS 2020 JAPAN MEETUP
In this talk, Thomas Wolf, Co-founder and Chief Science Officer at HuggingFace, introduces the recent breakthroughs in NLP that resulted from the combination of Transfer Learning schemes and Transformer architectures. The second part of the talk is dedicated to an introduction of the open-source tools released by HuggingFace, in particular Transformers, Tokenizers and Datasets libraries … Continue reading AN INTRODUCTION TO TRANSFER LEARNING IN NLP AND HUGGINGFACE 🤗
Our news picks of the month: Machine Learning, Deep Learning, Artificial Intelligence.
KPMG Ignition Tokyoは、オープンエデュケーション、オープンソース、オープンサイエンスを通じた機械学習と人工知能の民主化に取り組む一般社団法人Machine Learning Tokyo とパートナーシップ契約を締結しました。MLTとのパートナーシップを通じて、テクノロジーコミュニティのさらなる成長と発展に貢献することを目指しています。
What happened in AI, Machine Learning and Deep Learning this month, at a glance.