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06/07/2023
MultiEarth 2023 – Multimodal Learning for Earth and Environment Workshop and Challenge
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2...
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03/29/2023
Exploring Gender and Race Biases in the NFT Market
Non-Fungible Tokens (NFTs) are non-interchangeable assets, usually digit...
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07/14/2022
Developing a Series of AI Challenges for the United States Department of the Air Force
Through a series of federal initiatives and orders, the U.S. Government ...
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04/15/2022
MultiEarth 2022 – Multimodal Learning for Earth and Environment Workshop and Challenge
The Multimodal Learning for Earth and Environment Challenge (MultiEarth ...
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03/16/2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Unsupervised semantic segmentation aims to discover and localize semanti...
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02/28/2021
Model-Agnostic Explainability for Visual Search
What makes two images similar? We propose new approaches to generate mod...
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09/17/2020
Large-Scale Intelligent Microservices
Deploying Machine Learning (ML) algorithms within databases is a challen...
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07/14/2020
Conditional Image Retrieval
This work introduces Conditional Image Retrieval (CIR) systems: IR metho...
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07/12/2020
It Is Likely That Your Loss Should be a Likelihood
We recall that certain common losses are simplified likelihoods and inst...
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10/28/2018
Semi-Supervised Translation with MMD Networks
This work aims to improve semi-supervised learning in a neural network a...
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10/20/2018
MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales
We introduce Microsoft Machine Learning for Apache Spark (MMLSpark), an ...
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04/11/2018