Anubha Pandey

Orcid: 0000-0002-4695-0947

According to our database1, Anubha Pandey authored at least 13 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
FraudDiffuse: Diffusion-aided Synthetic Fraud Augmentation for Improved Fraud Detection.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Retrieval Augmented Fraud Detection.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation.
CoRR, 2023

GroupMixNorm Layer for Learning Fair Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Improving the Robustness of Financial Models through Identification of the Minimal Vulnerable Feature Set.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Adversarial Fraud Generation for Improved Detection.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Transitioning from Real to Synthetic data: Quantifying the bias in model.
CoRR, 2021

Towards Zero-Shot Learning with Fewer Seen Class Examples.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Zero-shot learning for action recognition using synthesized features.
Neurocomputing, 2020

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Limitations and Applicability of GANs in Banking Domain.
Proceedings of the Workshop on Applied Deep Generative Networks co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
Blind Deblurring Using GANs.
CoRR, 2019

Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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