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06/22/2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
Recent years have seen a surge of interest in the field of explainable A...
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02/08/2022
Local Explanations for Reinforcement Learning
Many works in explainable AI have focused on explaining black-box classi...
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02/02/2022
Auto-Transfer: Learning to Route Transferrable Representations
Knowledge transfer between heterogeneous source and target networks and ...
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09/24/2021
AI Explainability 360: Impact and Design
As artificial intelligence and machine learning algorithms become increa...
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09/16/2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Contrastive explanations for understanding the behavior of black box mod...
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09/13/2021
Towards Better Model Understanding with Path-Sufficient Explanations
Feature based local attribution methods are amongst the most prevalent i...
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09/06/2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
As artificial intelligence and machine learning algorithms make further ...
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05/30/2019
Leveraging Simple Model Predictions for Enhancing its Performance
There has been recent interest in improving performance of simple models...
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05/29/2019
Generating Contrastive Explanations with Monotonic Attribute Functions
Explaining decisions of deep neural networks is a hot research topic wit...
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07/31/2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators
Stochastic gradient descent (SGD), which dates back to the 1950s, is one...
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07/19/2018
Improving Simple Models with Confidence Profiles
In this paper, we propose a new method called ProfWeight for transferrin...
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06/24/2018
Beyond Backprop: Alternating Minimization with co-Activation Memory
We propose a novel online algorithm for training deep feedforward neural...
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02/21/2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
In this paper we propose a novel method that provides contrastive explan...
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07/12/2017
A Formal Framework to Characterize Interpretability of Procedures
We provide a novel notion of what it means to be interpretable, looking ...
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06/09/2017
TIP: Typifying the Interpretability of Procedures
We provide a novel notion of what it means to be interpretable, looking ...
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02/19/2014
