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CategoryResearch

Pudding Promo Poster Read More
By : mkrisch October 12, 2023October 21, 2023

Announcing a Data Visualization Workshop with The Pudding – 11/4

Graphical (or pictorial) presentations of data have become an almost essential part of journalistic practice. Data visualization helps us see patterns in data and is an important tool for finding

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Using FOIA Event Poster Read More
By : mkrisch September 22, 2023September 24, 2023

Upcoming Event – Using FOIA with Muckrock (9/29 from 12-1:30PM)

A Talk and demo of MuckRock, a website empowering citizens and journalists to write, file and track public records requests online, and its new FOIA Logs tool September 29 from

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Fade Gif Small Read More
By : mkrisch September 18, 2023September 18, 2023

Announcing ‘Grades of Heat’: A Tool to Explore the Thermal Footprints of HOLC Grading

In 1933, amidst the Great Depression, Franklin D. Roosevelt’s New Deal gave rise to the Home Owners’ Loan Corporation (HOLC), an effort aimed at preventing widespread foreclosures. However, this effort

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By : mkrisch August 10, 2021

Notes from NYCML and CHANEL’s Synthetic Media Challenge

Over the Spring semester, I participated in the NYC Media Lab’s Synthetic Media challenge, in collaboration with CHANEL. This challenge brought together teams of faculty and students from a variety

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sys-dia-labelfunctions Read More
By : mkrisch June 1, 2020November 17, 2020

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods

Authors Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré Abstract Weak supervision is a popular method for building machine learning models without relying

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By : mkrisch December 1, 2019October 7, 2020

Multi-Resolution Weak Supervision for Sequential Data

Authors Frederic Sala, Paroma Varma, Jason Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James R. Priest, Christopher Ré Abstract Since manually labeling training

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By : mkrisch October 30, 2019October 12, 2020

Scene Graph Prediction with Limited Labels

Authors Vincent Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei Image: Our semi-supervised method automatically generates probabilistic relationship labels to train any scene graph model. Abstract Visual

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By : mkrisch October 30, 2019October 12, 2020

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction

Authors Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Li Fei-Fei Image: We introduce a scene graph approach that formulates predicates as learned functions, which result in an embedding space

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By : mkrisch October 22, 2019October 12, 2020

View-Dependent Video Textures for 360° Video

Authors Sean J. Liu, Maneesh Agrawala, Stephen DiVerdi, Aaron Hertzmann Image: In 360◦ video, viewers can look anywhere at any time. In the opening scene of Invasion!, a rabbit emerges

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