Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Groupe
ML robuste, adaptatif et modulaire | Montréal
Notre objectif est de comprendre les principes qui sous-tendent l’apprentissage et la généralisation, afin de créer des systèmes d’IA fiables capables d’apprendre plus efficacement à partir des données disponibles, de collecter intelligemment des données pertinentes…
Outil
Orchestrated Value Mapping
This repository hosts the code release for the paper “Orchestrated Value Mapping for Reinforcement Learning”, published at ICLR 2022. This work was done by Mehdi Fatemi (Microsoft Research) and Arash Tavakoli (Max Planck Institute for…
Vidéo
Designing AI Systems with Steerable Long-Term Dynamics
The feedback that users provide through their choices (e.g. clicks, purchases) is one of the most common types of data readily available for training autonomous systems, and it is widely used in online platforms. However,…
Outil
AutoRL Research
This repository contains code for a series of research projects on Automated Reinforcement Learning (AutoRL).
Événement
SUMEval 2022
Massively Multilingual Language Models (MMLMs) are trained on around 100 languages of the world, however, most existing multilingual NLP benchmarks provide evaluation data in only a handful of these languages. The languages present in evaluation…
Projet
Trusted AI-assisted Programming
Machine learning, in particular Large Language Models, has shown great promise at automating several aspects of programming and software development such as coding, testing, integration, static analysis, verification etc. in recent years. In this project,…
Blog de recherche Microsoft
Research Focus: Week of November 17, 2022
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Microsoft is a proud platinum sponsor of…
