Jay Nandy

Orcid: 0000-0001-8559-4810

According to our database1, Jay Nandy authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift.
CoRR, 2023

Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Multi-Variate Time Series Forecasting on Variable Subsets.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Compact Feature Representation for Unsupervised Ood Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Domain-Agnostic Contrastive Representations for Learning from Label Proportions.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Adversarially Robust Classifier with Covariate Shift Adaptation.
CoRR, 2021

Distributional Shifts In Automated Diabetic Retinopathy Screening.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Manifold Defense Against Multiple Adversarial Perturbations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
Normal Similarity Network for Generative Modelling.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016
An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016


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