Learning to Rank for IR with Neural Nets (AFIRM 2020)
Learning to rank (LTR) for information retrieval (IR) involves the application of machine learning (ML) models to rank artifacts, such as documents or entities, in response to user’s information need—as may be expressed by a…
Prediction-Guided Design for Software Systems
ARS 2020: Track on Verification
Track on Verification – Sanjiva Prasad, IIT Delhi ; S P Suresh, CMI ; Aseem Rastogi, Microsoft Research. Track moderator : R Ramanujam, IMSC
ARS 2020: Privacy & Security in Healthcare
Privacy & Security in Healthcare Bill Thies (Microsoft Research) in conversation with Dr. Beena Thomas, Greg Moore (Microsoft Research), Rahul Panicker, and Wadhwani AI
Going deep on deep learning with Dr. Jianfeng Gao
Dr. Jianfeng Gao is a veteran computer scientist, an IEEE Fellow and the current head of the Deep Learning Group at Microsoft Research. He and his team are exploring novel approaches to advancing the state-of-the-art…
Swiss Joint Research Center Workshop 2020
The 7th annual workshop of the Swiss Joint Research Center, a collaborative engagement between Microsoft Research and ETH Zurich and EPFL, took place January 29-30, 2020 at EPFL in Lausanne. Each of the twelve project teams…