Dataset containing Aggregated and anonymized queries from across the world with Coronavirus intent. This dataset was curated from the Bing search logs (desktop users only) over the period of Jan 1st, 2020 – (Current Month – 1). Only searches that were issued many times by multiple users were included. The dataset includes queries from all over the world that had an intent related to the Coronavirus or Covid-19.
Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis. In many cases, the best way to share sensitive datasets is not to share the actual sensitive datasets, but user interfaces to derived datasets that are inherently anonymous. Our name for such an interface is a data showcase. In this project, we provide an automated pipeline for generating the three elements of a synthetic data showcase: Synthetic data representing the overall structure and…
This repository provides a set of code samples illustrating how the VROOM Cross-Reality (XR) telepresence prototype system was assembled. We hope that it will help other researchers prototype similar XR telepresence experiences.
This is a quick start guide for the document ranking task in the TREC Deep Learning (TREC-DL) benchmark. If you are new to TREC-DL, then this repository may make it more convenient for you to download all the required datasets and then train and evaluate a relatively efficient deep neural baseline on this benchmark, under both the rerank and the fullrank settings. The base model implements the Conformer-Kernel architecture with QTI, as described in this…
This is an official implementation of semantic segmentation for our TPAMI paper “Deep High-Resolution Representation Learning for Visual Recognition”.
This repo contains code to reproduce experiments in the paper “Initialization and Regularization of Factorized Neural Layers”. It is split into codebases for different models and settings we evaluate; please see the corresponding directories for information about the relevant papers.
Representation Learning and Reinforcement Learning from Event Cameras This repository will provide a codebase to train and evaluate models as seen in this paper: Representation Learning for Event-based Visuomotor Policies Sai Vemprala, Sami Mian, Ashish Kapoor
EverParse is a framework for automatically generating fully verified secure parsers from data format specifications described in domain-specific languages. It consists of a verified F* combinator library, and untrusted frontends compiling from data format specifications to verified parsing combinators.
OpticSim.jl is a Julia package for geometric optics (ray tracing) simulation and optimization of complex optical systems developed by the Microsoft Research Interactive Media Group and the Microsoft Hardware Architecture Incubation Team (HART). It is designed to allow optical engineers to create optical systems procedurally and then to simulate and optimize them. Unlike Zemax, Code V, or other interactive optical design systems OpticSim.jl has limited support for interactivity, primarily in the tools for visualizing optical…
I give a tutorial on text to speech in ISCSLP 2021.
