Jay Nandy

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Diabetic Retinopathy

Categorical Variables

Covariate Shift

Top Venues

Publications

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI (2024)
Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR (2023)
Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM (2023)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR (2022)
Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. KDD (2022)
Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu
Compact Feature Representation for Unsupervised Ood Detection. IGARSS (2022)
Jay Nandy, Wynne Hsu, Mong Li Le
Distributional Shifts In Automated Diabetic Retinopathy Screening. ICIP (2021)
Jay Nandy, Sudipan Saha, Wynne Hsu, Mong-Li Lee, Xiao Xiang Zhu
Adversarially Robust Classifier with Covariate Shift Adaptation. CoRR (2021)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Distributional Shifts in Automated Diabetic Retinopathy Screening. CoRR (2021)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Approximate Manifold Defense Against Multiple Adversarial Perturbations. IJCNN (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Approximate Manifold Defense Against Multiple Adversarial Perturbations. CoRR (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples. NeurIPS (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples. CoRR (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Normal Similarity Network for Generative Modelling. CoRR (2018)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Normal Similarity Network for Generative Modelling. ICIP (2018)
Jay Nandy, Wynne Hsu, Mong-Li Lee
An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection. ICTAI (2016)