Deepak Vijaykeerthy

15 papers A* 3A 1B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	On Evaluation of Vision Datasets and Models using Human Competency Frameworks. CoRR Rahul Ramachandran, Tejal Kulkarni, Charchit Sharma, Deepak Vijaykeerthy, Vineeth N. Balasubramanian
2022	A*	`conf`	A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2021	J	`jnl`	Automated Testing of AI Models. CoRR Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha
2021	J	`jnl`	Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2020	A*	`conf`	An ADMM Based Framework for AutoML Pipeline Configuration. AAAI Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
2020	J	`jnl`	Solving Constrained CASH Problems with ADMM. CoRR Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
2020	A	`conf`	Verifying Individual Fairness in Machine Learning Models. UAI Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
2020	J	`jnl`	Verifying Individual Fairness in Machine Learning Models. CoRR Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
2019	J	`jnl`	Exploring the Hyperparameter Landscape of Adversarial Robustness. CoRR Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy
2019	B	`conf`	Hardening Deep Neural Networks via Adversarial Model Cascades. IJCNN Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
2018	J	`jnl`	Explaining Deep Learning Models using Causal Inference. CoRR Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani
2018	J	`jnl`	Hardening Deep Neural Networks via Adversarial Model Cascades. CoRR Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
2017	—	`conf`	An Introduction to Adversarial Machine Learning. BDA Atul Kumar, Sameep Mehta, Deepak Vijaykeerthy
2016	J	`jnl`	Debugging Machine Learning Tasks. CoRR Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy
2015	A*	`conf`	Efficient synthesis of probabilistic programs. PLDI Aditya V. Nori, Sherjil Ozair, Sriram K. Rajamani, Deepak Vijaykeerthy