Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
TRAC Workshop 2020 – Report Out (Day 1 )
Trustworthy and Robust AI Collaboration (TRAC) Workshop Day 1 Report Out session
Video
TRAC Workshop 2020 – Approximate Cross-Validation for Complex Models
A lightning talk at the Trustworthy and Robust AI Collaboration (TRAC) Workshop https://cm-edgetun.pages.dev/en-us/research/event/tracworkshop/
Video
TRAC Workshop 2020 – Lightning Talks (Day 1)
Trustworthy and Robust AI Collaboration (TRAC) Workshop Day 1 Lightning Talks: Tamara Broderick, Massachusetts Institute of Technology Approximate Cross-Validation for Complex Models Ankur Moitra, Massachusetts Institute of Technology Classification under Misspecification, and Implications for Fairness…
Video
TRAC Workshop 2020 – Welcome and Introduction (Day 1)
Trustworthy and Robust AI Collaboration (TRAC) Workshop Welcome and introduction by: Aleksander Mądry, Massachusetts Institute of Technology and Evelyne Viegas, Microsoft Research Eric Horvitz, Microsoft Research and Daniela Rus, Massachusetts Institute of Technology
Project
Universal Question Answering in 100+ Languages
Provide universal Question Answering experiment to hundreds of millions of users in 100+ languages, 200+ markets/ regions, using cuttting edge cross lingual deep learning technologies.
Tool
XGLUE
This repository contains information about the cross-lingual evaluation benchmark XGLUE, which is composed of 11 tasks spans 19 languages.
GitHub Publication Publication Publication Publication Publication