Amit Deshpande

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 34

Top Topics

Automated Detection

Top Venues

Publications

Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma
NICE: To Optimize In-Context Examples or Not? ACL (1) (2024)
Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma
NICE: To Optimize In-Context Examples or Not? CoRR (2024)
Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis
Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance. SIGIR (2024)
Abhinav Kumar, Amit Deshpande, Amit Sharma
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations. NeurIPS (2023)
Sruthi Gorantla, Anay Mehrotra, Amit Deshpande, Anand Louis
Sampling Individually-Fair Rankings that are Always Group Fair. AIES (2023)
Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis
Socially Fair Center-Based and Linear Subspace Clustering. ECML/PKDD (1) (2023)
Sruthi Gorantla, Amit Deshpande, Anand Louis
Sampling Ex-Post Group-Fair Rankings. IJCAI (2023)
Abhinav Kumar, Amit Deshpande, Amit Sharma
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes. CoRR (2023)
Sruthi Gorantla, Anay Mehrotra, Amit Deshpande, Anand Louis
Sampling Individually-Fair Rankings that are Always Group Fair. CoRR (2023)
Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness. CoRR (2023)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam, Vineeth N. Balasubramanian
Universalization of Any Adversarial Attack using Very Few Test Examples. COMAD/CODS (2022)
Sushant Agarwal, Amit Deshpande
On the Power of Randomization in Fair Classification and Representation. FAccT (2022)
Sruthi Gorantla, Amit Deshpande, Anand Louis
Sampling Random Group Fair Rankings. CoRR (2022)
Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis
Socially Fair Center-based and Linear Subspace Clustering. CoRR (2022)
Rasoul Shahsavarifar, Jithu Chandran, Mario Inchiosa, Amit Deshpande, Mario Schlener, Vishal Gossain, Yara Elias, Vinaya Murali
Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models. CoRR (2022)
Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
Rawlsian Fair Adaptation of Deep Learning Classifiers. AIES (2021)
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. AAAI (2021)
Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
Rawlsian Fair Adaptation of Deep Learning Classifiers. CoRR (2021)
Monojit Choudhury, Amit Deshpande
How Linguistically Fair Are Multilingual Pre-Trained Language Models? AAAI (2021)
Amit Deshpande, Rameshwar Pratap
On Subspace Approximation and Subset Selection in Fewer Passes by MCMC Sampling. CoRR (2021)
Amit Deshpande, Rameshwar Pratap
Sampling-based dimension reduction for subspace approximation with outliers. Theor. Comput. Sci. 858 (2021)
Sruthi Gorantla, Amit Deshpande, Anand Louis
On the Problem of Underranking in Group-Fair Ranking. ICML (2021)
Amit Deshpande, Praneeth Kacham, Rameshwar Pratap
Robust k-means++. UAI (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
Invariance vs. Robustness of Neural Networks. CoRR (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
Universalization of any adversarial attack using very few test examples. CoRR (2020)
Sruthi Gorantla, Amit Deshpande, Anand Louis
Ranking for Individual and Group Fairness Simultaneously. CoRR (2020)
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. CoRR (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
How do SGD hyperparameters in natural training affect adversarial robustness? CoRR (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
On Universalized Adversarial and Invariant Perturbations. CoRR (2020)
Amit Deshpande, Rameshwar Pratap
Subspace Approximation with Outliers. COCOON (2020)
Amit Deshpande, Rameshwar Pratap
Subspace approximation with outliers. CoRR (2020)
Amit Deshpande, Anand Louis, Apoorv Vikram Singh
On Euclidean k-Means Clustering with alpha-Center Proximity. AISTATS (2019)
Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma
Quantifying Infra-Marginality and Its Trade-off with Group Fairness. CoRR (2019)
Amit Deshpande, Anand Louis, Apoorv Vikram Singh
Clustering Perturbation Resilient Instances. CoRR (2018)
S. A. M. Makki, Niki Pissinou, Tirthankar Ghosh, Amit Deshpande
Study of Network Performance in a Simulated Network for Optimized Node Degree and Network Cost. International Conference on Internet Computing (2003)