Chelsea Finn: How to make artificial intelligence more meta

Chelsea Finn: How to make artificial intelligence more meta

Language Models Make Stuff Up. What Should We Do About It? | Chelsea FinnПодробнее

Language Models Make Stuff Up. What Should We Do About It? | Chelsea Finn

[SAIF 2020] Day 1: From Few-Shot Adaptation to Uncovering Symmetries - Chelsea Finn | SamsungПодробнее

[SAIF 2020] Day 1: From Few-Shot Adaptation to Uncovering Symmetries - Chelsea Finn | Samsung

AI and Robotics - Chelsea Finn & Andrew NgПодробнее

AI and Robotics - Chelsea Finn & Andrew Ng

S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing worldПодробнее

S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing world

BayLearn2020 Keynote: Meta-learning for Robustness to the Changing World - Prof. Chelsea FinnПодробнее

BayLearn2020 Keynote: Meta-learning for Robustness to the Changing World - Prof. Chelsea Finn

Chelsea Finn "Continual, Generic Learning & Meta-Learning For Robotic Interaction"Подробнее

Chelsea Finn 'Continual, Generic Learning & Meta-Learning For Robotic Interaction'

Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 1 - Introduction & OverviewПодробнее

Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 1 - Introduction & Overview

DLRL Summer School 2020 - Meta Reinforcement Learning - Chelsea FinnПодробнее

DLRL Summer School 2020 - Meta Reinforcement Learning - Chelsea Finn

Triangulating Intelligence, Session 1: Matthew Botvinick, Dan Yamins, and Chelsea FinnПодробнее

Triangulating Intelligence, Session 1: Matthew Botvinick, Dan Yamins, and Chelsea Finn

Meta-Learning Symmetries - Chelsea FinnПодробнее

Meta-Learning Symmetries - Chelsea Finn

Chelsea Finn: Building Unsupervised Versatile Agents with Meta-LearningПодробнее

Chelsea Finn: Building Unsupervised Versatile Agents with Meta-Learning

Interview with Professor Chelsea Finn, StanfordПодробнее

Interview with Professor Chelsea Finn, Stanford

Flexible Neural Networks and the Frontiers of Meta-LearningПодробнее

Flexible Neural Networks and the Frontiers of Meta-Learning