The Third Wave of Robotic Learning with Ken Goldberg - #359
Today we’re joined by Ken Goldberg, professor of engineering at UC Berkeley, focused on robotic learning. In our conversation with Ken, we chat about some of the challenges that arise when working on ...
23 Mars 20201h 1min
Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
Today we’re joined by Stefan Lee, an assistant professor at Oregon State University. In our conversation, we focus on his paper ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for V...
18 Mars 202027min
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
Today we’re joined by Jürgen Schmidhuber, Co-Founder and Chief Scientist of NNAISENSE, the Scientific Director at IDSIA, as well as a Professor of AI at USI and SUPSI in Switzerland. Jürgen’s lab is w...
16 Mars 202034min
SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356
Beidi Chen is part of the team that developed a cheaper, algorithmic, CPU alternative to state-of-the-art GPU machines. They presented their findings at NeurIPS 2019 and have since gained a lot of att...
12 Mars 202031min
Advancements in Machine Learning with Sergey Levine - #355
Today we're joined by Sergey Levine, an Assistant Professor at UC Berkeley. We last heard from Sergey back in 2017, where we explored Deep Robotic Learning. Sergey and his lab’s recent efforts have be...
9 Mars 202043min
Secrets of a Kaggle Grandmaster with David Odaibo - #354
Imagine spending years learning ML from the ground up, from its theoretical foundations, but still feeling like you didn’t really know how to apply it. That’s where David Odaibo found himself in 2015,...
5 Mars 202041min
NLP for Mapping Physics Research with Matteo Chinazzi - #353
Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University focused on in his paper Mapping the Physics Researc...
2 Mars 202035min
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352
The unfortunate reality is that many of the most commonly used machine learning metrics don't account for the complex trade-offs that come with real-world decision making. This is one of the challenge...
27 Feb 202056min
