Published Aug 22, 2019
Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293
Olivier Bachem delves into his journey from economics to machine learning at Google Brain, discussing his pioneering work on disentangled representations to improve machine learning models and the creation of Google Research Football, an advanced AI environment for reinforcement learning research.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Towards Improved Transfer Learning with Hugo Larochelle - 631
Answers 383 questions
Trends in Natural Language Processing with Sebastian Ruder - TWiML Talk #216
Answers 383 questions
Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209
Answers 383 questions
Trends in Machine Learning with Anima Anandkumar - TWiML Talk #215
Answers 383 questions
Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217
Answers 383 questions
Language Understanding and LLMs with Christopher Manning - 686
Answers 383 questions
Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207
Answers 383 questions
Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
Answers 383 questions
AI for Content Creation with Debajyoti Ray - TWiML Talk #178
Answers 383 questions
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
Answers 383 questions
Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk 295
Answers 383 questions
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
Answers 383 questions
Live from TWIMLcon! Operationalizing Responsible AI - #310
Answers 383 questions
Composing Graphical Models With Neural Networks, w/ David Duvenaud - #96
Answers 383 questions
