5 citations · 8 across the 4 of their papers we have counts for
6 papers
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation
Bhushan Chaudhary, Anubha Pandey, Deepak Bhatt +1
Addressing bias in the trained machine learning system often requires access to sensitive attributes. In practice, these attributes are not available either due to legal and policy…
GroupMixNorm Layer for Learning Fair Models
Anubha Pandey, Aditi Rai, Maneet Singh +2
Recent research has identified discriminatory behavior of automated prediction algorithms towards groups identified on specific protected attributes (e.g., gender, ethnicity, age g…
Transitioning from Real to Synthetic data: Quantifying the bias in model
Aman Gupta, Deepak Bhatt, Anubha Pandey
With the advent of generative modeling techniques, synthetic data and its use has penetrated across various domains from unstructured data such as image, text to structured dataset…
Towards Zero-Shot Learning with Fewer Seen Class Examples
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey +2
We present a meta-learning based generative model for zero-shot learning (ZSL) towards a challenging setting when the number of training examples from each \emph{seen} class is ver…
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma +2
Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume that the data of all the classes are available during training. The assumption may not always be practical sin…
Blind Deblurring Using GANs
Manoj Kumar Lenka, Anubha Pandey, Anurag Mittal
Deblurring is the task of restoring a blurred image to a sharp one, retrieving the information lost due to the blur. In blind deblurring we have no information regarding the blur k…