Chelsea Finn - Neural Networks Make Stuff Up. What Should We Do About It

Chelsea Finn - Neural Networks Make Stuff Up. What Should We Do About It?

Stanford IRIS Lab

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

Women in Data Science Worldwide

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

The Robot Brains Podcast

Explained In A Minute: Neural Networks

Keynote Speaker: Chelsea Finn, Ph.D.

The Harker School

What is it like working in an AI lab? - Chelsea Finn & Andrew Ng

Stanford Online

Chelsea Finn: Building Unsupervised Versatile Agents with Meta-Learning

Ai2

[CVPR'23 WAD] Keynote - Chelsea Finn, Stanford University/Google

Keynote Dr Chelsea Finn Understanding Intelligence Through Robots

The Harker School

RMDO 2024:Chelsea Finn - Learning Long-Horizon Bi-Manual Tasks involving Deformable Object Manip...

ICRA 2024 RMDO Workshop

Chelsea Finn: How to make artificial intelligence more meta

Stanford University School of Engineering

Stanford Webinar - The Frontier of Deep Learning for Robotics, Chelsea Finn

Stanford Online

TUM AI Lecture Series - Broad Data for Broad Robot Generalization (Chelsea Finn)

Matthias Niessner

Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 1

Stanford Online

Chelsea Finn - Principles for Tackling Distribution Shift: Pessimism, Adaptation, and Anticipation

DeepMind ELLIS UCL CSML Seminar Series

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

What does the future hold for AI and Robotics? - Chelsea Finn & Andrew Ng

Stanford Online

Episode 19 - Chelsea Finn

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