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02/20/2023
Harms from Increasingly Agentic Algorithmic Systems
Research in Fairness, Accountability, Transparency, and Ethics (FATE) ha...
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10/18/2022
Generalizing in the Real World with Representation Learning
Machine learning (ML) formalizes the problem of getting computers to lea...
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09/20/2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Modern machine learning research relies on relatively few carefully cura...
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12/14/2021
Filling gaps in trustworthy development of AI
The range of application of artificial intelligence (AI) is vast, as is ...
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09/19/2020
Hidden Incentives for Auto-Induced Distributional Shift
Decisions made by machine learning systems have increasing influence on ...
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04/15/2020
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
With the recent wave of progress in artificial intelligence (AI) has com...
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06/10/2019
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we...
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06/16/2017
A Closer Look at Memorization in Deep Networks
We examine the role of memorization in deep learning, drawing connection...
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12/07/2016
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Then detection and identification of extreme weather events in large-sca...
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11/23/2016
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
While deep convolutional neural networks frequently approach or exceed h...
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10/24/2016
Surprisal-Driven Zoneout
We propose a novel method of regularization for recurrent neural network...
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06/03/2016
