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06/13/2023
Taxonomy-Structured Domain Adaptation
Domain adaptation aims to mitigate distribution shifts among different d...
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02/08/2022
Graph-Relational Domain Adaptation
Existing domain adaptation methods tend to treat every domain equally an...
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09/30/2019
Locally Constant Networks
We show how neural models can be used to realize piece-wise constant fun...
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07/07/2019
Towards Robust, Locally Linear Deep Networks
Deep networks realize complex mappings that are often understood by thei...
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06/12/2019
A Stratified Approach to Robustness for Randomly Smoothed Classifiers
Strong theoretical guarantees of robustness can be given for ensembles o...
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02/26/2019
Functional Transparency for Structured Data: a Game-Theoretic Approach
We provide a new approach to training neural models to exhibit transpare...
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06/30/2018
Game-Theoretic Interpretability for Temporal Modeling
Interpretability has arisen as a key desideratum of machine learning mod...
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04/15/2017
MUSE: Modularizing Unsupervised Sense Embeddings
This paper proposes to address the word sense ambiguity issue in an unsu...
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10/28/2016