Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Vidéo
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
This talk will describe our recent work on designing image classification systems that, after an initial multi-task training phase, can automatically adapt to new tasks encountered at test time. I will introduce an approach that…
Vidéo
From automatic differentiation to message passing
Automatic differentiation is an elegant technique for converting a computable function expressed as a program into a derivative-computing program with similar time complexity. It does not execute the original program as a black-box, nor does…
Publication
Low Latency Privacy Preserving Inference
Blog de recherche Microsoft
Reliability in Reinforcement Learning
Reinforcement Learning (RL), much like scaling a 3,000-foot rock face, is about learning to make sequential decisions. The list of potential RL applications is expansive, spanning robotics (drone control), dialogue systems (personal assistants, automated call…
Blog de recherche Microsoft
A phonetic matching made inˈhɛvən
Recently, Microsoft Research Montréal open sourced a phonetic matching component used previously in Maluuba Inc.’s natural language understanding platform. The library contains string comparison utilities that operate on a phoneme level as opposed to a…
Projet
Sharing Updatable Models (SUM) on Blockchain
A framework to host and train publicly available machine learning models while crowdsourcing a dataset. Ideally, using a model for prediction is free. An incentive mechanism validates added data.
Outil
Decentralized & Collaborative AI on Blockchain [1.0]
We propose a framework for participants to collaboratively build a dataset and use smart contracts to host a continuously updated model.
Blog de recherche Microsoft
Provably efficient reinforcement learning with rich observations
Reinforcement learning, a machine learning paradigm for sequential decision making, has stormed into the limelight, receiving tremendous attention from both researchers and practitioners. When combined with deep learning, reinforcement learning (RL) has produced impressive empirical…
Vidéo
Models as Code: Differentiable Programming with Zygote
Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large amounts of data. At the same time, machine learning models are becoming increasingly sophisticated and exhibit many features…
