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2020 – today
- 2024
[c10]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: 12331-12339- 2023
- [c9]Jay Nandy
, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer:
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM 2023: 1887-1896 - [i7]Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR abs/2310.07535 (2023) - 2022
- [c8]Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer:
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM 2022: 1542-1551 - [c7]Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu:
Compact Feature Representation for Unsupervised Ood Detection. IGARSS 2022: 3143-3146 - [c6]Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. KDD 2022: 76-86 - [i6]Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR abs/2206.12626 (2022) - 2021
- [c5]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts In Automated Diabetic Retinopathy Screening. ICIP 2021: 255-259 - [i5]Jay Nandy, Sudipan Saha, Wynne Hsu, Mong-Li Lee, Xiao Xiang Zhu:
Adversarially Robust Classifier with Covariate Shift Adaptation. CoRR abs/2102.05096 (2021) - [i4]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts in Automated Diabetic Retinopathy Screening. CoRR abs/2107.11822 (2021) - 2020
- [c4]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. IJCNN 2020: 1-8 - [c3]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples. NeurIPS 2020 - [i3]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. CoRR abs/2004.02183 (2020) - [i2]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples. CoRR abs/2010.10474 (2020)
2010 – 2019
- 2018
- [c2]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. ICIP 2018: 1817-1821 - [i1]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. CoRR abs/1805.05269 (2018) - 2016
- [c1]Jay Nandy, Wynne Hsu, Mong-Li Lee:
An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection. ICTAI 2016: 908-912
Coauthor Index
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