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05/31/2023
Representer Point Selection for Explaining Regularized High-dimensional Models
We introduce a novel class of sample-based explanations we term high-dim...
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03/02/2022
Faith-Shap: The Faithful Shapley Interaction Index
Shapley values, which were originally designed to assign attributions to...
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08/25/2021
Heavy-tailed Streaming Statistical Estimation
We consider the task of heavy-tailed statistical estimation given stream...
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09/08/2019
Order-free Learning Alleviating Exposure Bias in Multi-label Classification
Multi-label classification (MLC) assigns multiple labels to each sample....
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04/08/2019
Completely Unsupervised Phoneme Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models
Producing a large annotated speech corpus for training ASR systems remai...
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11/12/2018
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification
Recent work has shown that exploiting relations between labels improves ...
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04/15/2018