Deepak Vijaykeerthy | DeepAI

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∙ 10/07/2021

Automated Testing of AI Models

The last decade has seen tremendous progress in AI technology and applic...

0 Swagatam Haldar, et al. ∙

∙ 08/25/2021

Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach

Self-explainable deep models are devised to represent the hidden concept...

0 Anirban Sarkar, et al. ∙

∙ 06/21/2020

Verifying Individual Fairness in Machine Learning Models

We consider the problem of whether a given decision model, working with ...

0 Philips George John, et al. ∙

∙ 05/09/2019

Exploring the Hyperparameter Landscape of Adversarial Robustness

Adversarial training shows promise as an approach for training models th...

0 Evelyn Duesterwald, et al. ∙

∙ 11/11/2018

Explaining Deep Learning Models using Causal Inference

Although deep learning models have been successfully applied to a variet...

0 Tanmayee Narendra, et al. ∙

∙ 02/02/2018

Hardening Deep Neural Networks via Adversarial Model Cascades

Deep neural networks (DNNs) have been shown to be vulnerable to adversar...

0 Deepak Vijaykeerthy, et al. ∙

∙ 03/23/2016

Debugging Machine Learning Tasks

Unlike traditional programs (such as operating systems or word processor...

0 Aleksandar Chakarov, et al. ∙

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