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08/28/2023
Goodhart's Law Applies to NLP's Explanation Benchmarks
Despite the rising popularity of saliency-based explanations, the resear...
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03/09/2023
Users are the North Star for AI Transparency
Despite widespread calls for transparent artificial intelligence systems...
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02/06/2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
Despite the emergence of principled methods for domain adaptation under ...
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11/14/2022
Model Evaluation in Medical Datasets Over Time
Machine learning models deployed in healthcare systems face data drawn f...
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10/04/2022
Data drift correction via time-varying importance weight estimator
Real-world deployment of machine learning models is challenging when dat...
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02/02/2022
Can Transformers be Strong Treatment Effect Estimators?
In this paper, we develop a general framework based on the Transformer a...
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08/20/2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Researchers often face data fusion problems, where multiple data sources...
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04/18/2021
Off-Policy Risk Assessment in Contextual Bandits
To evaluate prospective contextual bandit policies when experimentation ...
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11/13/2020
Rebounding Bandits for Modeling Satiation Effects
Psychological research shows that enjoyment of many goods is subject to ...
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07/14/2020
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Despite diverse efforts to mine various modalities of medical data, the ...
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05/04/2020
Generating SOAP Notes from Doctor-Patient Conversations
Following each patient visit, physicians must draft detailed clinical su...
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03/17/2020
A Unified View of Label Shift Estimation
Label shift describes the setting where although the label distribution ...
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09/26/2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Despite alarm over the reliance of machine learning systems on so-called...
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05/27/2019
Combating Adversarial Misspellings with Robust Word Recognition
To combat adversarial spelling mistakes, we propose placing a word recog...
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07/19/2017
Deep Active Learning for Named Entity Recognition
Deep neural networks have advanced the state of the art in named entity ...
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03/20/2017
