Naman Bansal

I am a doctoral student working under the guidance of Dr. Shubhra Kanti Karmaker (Santu) at Auburn University. I am interested in Computer Vision, Natural Language Processing and Deep Learning.

Prior to joining Auburn, I completed my undergraduate studies in Electrical Engineering from IIT Gandhinagar. During my studies, I got opportunities to intern with Ashish Mishra (Space Application Centre (SAC) - ISRO) and Dr. Nitesh Chawla (iCENSA lab, University of Notre Dame).

I consider myself fortunate to be awarded with Explorer Fellowship where I got a chance the travel the different parts of India.

Email  /  Google Scholar  /  LinkedIn  /  CV  /  GitHub

Here, I list down the papers that I have reviewed/presented during my PhD (in reverse chronological order):

• Synthetic Data Generation for TextIntersection [Video]
• Deep contextualized word representations
• Recurrent Neural Network based Language Models
• LaSO: Label-Set Operations networks for multi-label few-shot learning
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• A Benchmark for Interpretability Methods in Deep Neural Networks
• A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
• Polynomial calculation of the Shapley value based on sampling
• Interpretable Explanations of Black Boxes by Meaningful Perturbation
• “Why Should I Trust You?” Explaining the Predictions of Any Classifier
• Interpretable Deep Learning under Fire
• Group Equivariant Convolutional Networks
• Sanity Checks for Salinecy Maps
• How Important Is a Neuron?
• Taskonomy: Disentangling Task Transfer Learning

Website style cloned from Jon Barron's website