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05/23/2022
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability
Classifier calibration has received recent attention from the machine le...
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04/07/2022
Measuring AI Systems Beyond Accuracy
Current test and evaluation (T E) methods for assessing machine learni...
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12/02/2019
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
We propose a combined model, which integrates the latent factor model an...
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11/21/2019
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
We present xBD, a new, large-scale dataset for the advancement of change...
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04/03/2019
Constrained Generative Adversarial Networks for Interactive Image Generation
Generative Adversarial Networks (GANs) have received a great deal of att...
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11/15/2018
Exploiting Class Learnability in Noisy Data
In many domains, collecting sufficient labeled training data for supervi...
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02/07/2018
Generating Triples with Adversarial Networks for Scene Graph Construction
Driven by successes in deep learning, computer vision research has begun...
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11/25/2016
Clickstream analysis for crowd-based object segmentation with confidence
With the rapidly increasing interest in machine learning based solutions...
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11/06/2015