Deepak Vijaykeerthy

According to our database1, Deepak Vijaykeerthy authored at least 13 papers between 2015 and 2024.

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Bibliography

2024
On Evaluation of Vision Datasets and Models using Human Competency Frameworks.
CoRR, 2024

2022
A Framework for Learning Ante-hoc Explainable Models via Concepts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Automated Testing of AI Models.
CoRR, 2021

Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach.
CoRR, 2021

2020
Solving Constrained CASH Problems with ADMM.
CoRR, 2020

Verifying Individual Fairness in Machine Learning Models.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

An ADMM Based Framework for AutoML Pipeline Configuration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Exploring the Hyperparameter Landscape of Adversarial Robustness.
CoRR, 2019

Hardening Deep Neural Networks via Adversarial Model Cascades.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Explaining Deep Learning Models using Causal Inference.
CoRR, 2018

2017
An Introduction to Adversarial Machine Learning.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
Debugging Machine Learning Tasks.
CoRR, 2016

2015
Efficient synthesis of probabilistic programs.
Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015


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