research
∙
06/07/2022
Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods
Saliency methods calculate how important each input feature is to a mach...
share
research
∙
02/17/2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
Interpretability methods aim to help users build trust in and understand...
research
∙
01/04/2020
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
We introduce a new video synthesis task: synthesizing time lapse videos ...
research
∙
09/01/2019
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
We introduce visual deprojection: the task of recovering an image or vid...
research
∙
02/25/2019
Data augmentation using learned transforms for one-shot medical image segmentation
Biomedical image segmentation is an important task in many medical appli...
research
∙
01/28/2019
A Framework for Understanding Unintended Consequences of Machine Learning
As machine learning increasingly affects people and society, it is impor...
research
∙
06/01/2018
Visualizing Patient Timelines in the Intensive Care Unit
Electronic Health Records (EHRs) contain a large volume of heterogeneous...
research
∙
06/30/2017
Bolt: Accelerated Data Mining with Fast Vector Compression
Vectors of data are at the heart of machine learning and data mining. Re...
research
∙
09/29/2016
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data
Thanks to the rise of wearable and connected devices, sensor-generated t...
research
∙
08/06/2016