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2020 – today
- 2024
[i9]Rahul Ramachandran, Tejal Kulkarni, Charchit Sharma, Deepak Vijaykeerthy, Vineeth N. Balasubramanian:
On Evaluation of Vision Datasets and Models using Human Competency Frameworks. CoRR abs/2409.04041 (2024)- 2022
- [c6]Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian:
A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR 2022: 10276-10285 - 2021
- [i8]Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian:
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR abs/2108.11761 (2021) - [i7]Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha:
Automated Testing of AI Models. CoRR abs/2110.03320 (2021) - 2020
- [c5]Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray:
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI 2020: 4892-4899 - [c4]Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha:
Verifying Individual Fairness in Machine Learning Models. UAI 2020: 749-758 - [i6]Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray:
Solving Constrained CASH Problems with ADMM. CoRR abs/2006.09635 (2020) - [i5]Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha:
Verifying Individual Fairness in Machine Learning Models. CoRR abs/2006.11737 (2020)
2010 – 2019
- 2019
- [c3]Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru:
Hardening Deep Neural Networks via Adversarial Model Cascades. IJCNN 2019: 1-8 - [i4]Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy:
Exploring the Hyperparameter Landscape of Adversarial Robustness. CoRR abs/1905.03837 (2019) - 2018
- [i3]Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru:
Hardening Deep Neural Networks via Adversarial Model Cascades. CoRR abs/1802.01448 (2018) - [i2]Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani:
Explaining Deep Learning Models using Causal Inference. CoRR abs/1811.04376 (2018) - 2017
- [c2]Atul Kumar
, Sameep Mehta, Deepak Vijaykeerthy:
An Introduction to Adversarial Machine Learning. BDA 2017: 293-299 - 2016
- [i1]Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy:
Debugging Machine Learning Tasks. CoRR abs/1603.07292 (2016) - 2015
- [c1]Aditya V. Nori, Sherjil Ozair, Sriram K. Rajamani, Deepak Vijaykeerthy:
Efficient synthesis of probabilistic programs. PLDI 2015: 208-217
Coauthor Index
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