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 🤗
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.
Since OpenAI kicked off the GPT-3 API access for selected users, many demos have been created that showcased the impressive capabilities of the massive-scale language model. Here are 10 cool demos based on GPT-3 that appeared on Twitter.
The MLT team Yoovraj Shinde, Alisher Abdulkhaev, Naveen Kumar, Hajime Kato and Benjamin Ioller developed an object detection and object tracking system and scored a gold medal and 3rd prize in the competition. Code and documentation were open sourced and are available on our MLT GitHub.