Web: https://www.reddit.com/r/LanguageTechnology/comments/sds8q8/r_ml_nlp_reasearch_highlights_of_2021_by/

Jan. 27, 2022, 6:51 a.m. | /u/ClaudeCoulombe

Natural Language Processing reddit.com

ML and NLP Research Highlights of 2021 by Sebastian Ruder, actually research scientist at Google in London, ex-DeepMind: Universal Models, Massive Multi-task Learning, Beyond the Transformer (aka cross-attention), Prompting, Efficient Methods, Benchmarking, Conditional Image Generation, ML for Science, Code Synthesis, Bias, Retrieval Augmentation, Token-free Models, Temporal Adaptation, Importance of Data and Meta-learning.

submitted by /u/ClaudeCoulombe
[link] [comments]

2021 languagetechnology ml nlp

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY

Data Analyst

@ Colorado Springs Police Department | Colorado Springs, CO

Predictive Ecology Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, CA

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX