Every year we take time to recap the most important developments in the various disciplines under the broad machine learning umbrella. Even amongst the uncertainty that 2020 brought, the ML community still managed to produce some great breakthroughs. In these conversations, we brought back some of our friends from the podcast to cover the latest and greatest in Machine Learning & Deep Learning, Computer Vision, Natural Language Processing, and Reinforcement Learning research, tools, use cases, and even predictions for the year ahead.
As always, we’d love to hear your thoughts on this series, including anything we might have missed. Drop your thoughts, feedback or favorite papers via twitter @samcharrington, or via a comment below.
TWIML Presents: AI Rewind 2020
TWIML Talk #443Trends in Reinforcement Learning
Pablo Samuel Castro, Google Brain
TWIML Talk #444Trends in Computer Vision
Pavan Turaga, Arizona State University
TWIML Talk #445Trends in NLP
Sameer Singh, UC Irvine
TWIML Talk #446Trends in Graph Machine Learning
Michael Bronstein, Imperial College London