Dmitry Kazhdan | DeepAI

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∙ 02/09/2023

GCI: A (G)raph (C)oncept (I)nterpretation Framework

Explainable AI (XAI) underwent a recent surge in research on concept ext...

7 Dmitry Kazhdan, et al. ∙

∙ 01/25/2023

Towards Robust Metrics for Concept Representation Evaluation

Recent work on interpretability has focused on concept-based explanation...

0 Mateo Espinosa Zarlenga, et al. ∙

∙ 11/14/2022

Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations

Recent work has suggested post-hoc explainers might be ineffective for d...

0 Shea Cardozo, et al. ∙

∙ 07/27/2022

Encoding Concepts in Graph Neural Networks

The opaque reasoning of Graph Neural Networks induces a lack of human tr...

0 Lucie Charlotte Magister, et al. ∙

∙ 07/25/2021

GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks

While graph neural networks (GNNs) have been shown to perform well on gr...

0 Lucie Charlotte Magister, et al. ∙

∙ 07/15/2021

Algorithmic Concept-based Explainable Reasoning

Recent research on graph neural network (GNN) models successfully applie...

0 Dobrik Georgiev, et al. ∙

∙ 04/19/2021

Manipulating SGD with Data Ordering Attacks

Machine learning is vulnerable to a wide variety of different attacks. I...

14 Ilia Shumailov, et al. ∙

∙ 04/18/2021

Failing Conceptually: Concept-Based Explanations of Dataset Shift

Despite their remarkable performance on a wide range of visual tasks, ma...

8 Maleakhi A. Wijaya, et al. ∙

∙ 04/14/2021

Is Disentanglement all you need? Comparing Concept-based Disentanglement Approaches

Concept-based explanations have emerged as a popular way of extracting h...

11 Dmitry Kazhdan, et al. ∙

∙ 12/13/2020

MEME: Generating RNN Model Explanations via Model Extraction

Recurrent Neural Networks (RNNs) have achieved remarkable performance on...

17 Dmitry Kazhdan, et al. ∙

∙ 10/25/2020

Now You See Me (CME): Concept-based Model Extraction

Deep Neural Networks (DNNs) have achieved remarkable performance on a ra...

3 Dmitry Kazhdan, et al. ∙

∙ 04/16/2020

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

Multi-Agent Reinforcement Learning (MARL) encompasses a powerful class o...

0 Dmitry Kazhdan, et al. ∙

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