Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. - Anubha Pandey; Ashish Mishra 001; Vinay Kumar Verma; Anurag Mittal (ICCV Workshops, 2019)

Blind Deblurring Using GANs. - Manoj Kumar Lenka; Anubha Pandey; Anurag Mittal (CoRR, 2019)

Limitations and Applicability of GANs in Banking Domain. - Anubha Pandey; Deepak Bhatt; Tanmoy Bhowmik (ADGN@ECAI, 2020)

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. - Anubha Pandey; Ashish Mishra 001; Vinay Kumar Verma; Anurag Mittal; Hema A. Murthy (WACV, 2020)

Zero-shot learning for action recognition using synthesized features. - Ashish Mishra 001; Anubha Pandey; Hema A. Murthy (Neurocomputing, 2020)

Towards Zero-Shot Learning with Fewer Seen Class Examples. - Vinay Kumar Verma; Ashish Mishra 001; Anubha Pandey; Hema A. Murthy; Piyush Rai (WACV, 2021)

Transitioning from Real to Synthetic data: Quantifying the bias in model. - Aman Gupta; Deepak Bhatt; Anubha Pandey (CoRR, 2021)

Adversarial Fraud Generation for Improved Detection. - Anubha Pandey; Alekhya Bhatraju; Shiv Markam; Deepak Bhatt (ICAIF, 2022)

Improving the Robustness of Financial Models through Identification of the Minimal Vulnerable Feature Set. - Anubha Pandey; Himanshu Chaudhary; Alekhya Bhatraju; Deepak Bhatt; Maneet Singh (ICAIF, 2023)

GroupMixNorm Layer for Learning Fair Models. - Anubha Pandey; Aditi Rai; Maneet Singh; Deepak Bhatt; Tanmoy Bhowmik (PAKDD (1), 2023)

Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation. - Bhushan Chaudhari; Anubha Pandey; Deepak Bhatt; Darshika Tiwari (CoRR, 2023)

Bias Mitigation through Proxy Sensitive Attribute Label Generation. - Darshika Tiwari; Anubha Pandey; Bhushan Chaudhari (COMAD/CODS (December), 2024)

Retrieval Augmented Fraud Detection. - Anubha Pandey (ICAIF, 2024)

FraudDiffuse: Diffusion-aided Synthetic Fraud Augmentation for Improved Fraud Detection. - Ruma Roy; Darshika Tiwari; Anubha Pandey (ICAIF, 2024)