Email / Twitter / Google Scholar / Semantic Scholar

I am an Applied Scientist II at Amazon working in the Alexa AI Search team on Question Answering systems. My current research interests are towards improving answer ranking and answer generation models for Open Domain Question Answering. Before this, I graduated from the University of Wisconsin-Madison with a Masters in Computer Science in May 2020. I completed my Masters Thesis under the guidance of Prof. Yingyu Liang on representation learning paradigms and their application to text classification. Prior to this, I completed my Bachelors in Computer Science and Engineering from IIT Bombay in August 2018 where I was advised by Prof. Sunita Sarawagi.

News and Updates

Oct 2022: Our paper on knowledge transfer from answer ranking to answer generation models got accepted at EMNLP 2022
Oct 2022: Our paper on pre-training transformers by exploiting document structure for answer selection got accepted at EMNLP 2022
Jul 2022: Our paper on analysis of attentive walk-aggregating GNNs got accepted to Transactions on Machine Learning Research (TMLR) journal
Jul 2022: I attended NAACL 2022 in Seattle, WA to present our paper on multi-sentence inference
May 2022: I attended ACL 2022 in Dublin, Ireland
May 2022: Pre-print on pre-training transformers by exploiting paragragph and document structure for answer sentence selection released
Apr 2022: Our paper "Paragraph-based Transformer Pretraining for Multi-Sentence Inference" got accepted at NAACL 2022
Nov 2021: Pre-print on analysis of attentive walk-aggregating GNNs released
Aug 2021: Our paper "Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering" got accepted at EMNLP 2021 as an oral presentation
Aug 2021: Our paper "Towards Robustness to Label Noise in Text Classification via Noise Modeling" got accepted at CIKM 2021
Jul 2021: I was recognised for being in the Top 10% of the reviewers for ICML 2021
Jul 2021: I was recognised for being an Outstanding Reviewer for ACL 2021
Apr 2021: Paper on text classification with noisy labels accepted at two ICLR 2021 Workshops: RobustML and S2D-OLAD
Jan 2021: Pre-print on text classification with noisy labels released
Dec 2020: I was recognised for being an Outstanding Reviewer for EMNLP 2020
Oct 2020: I was recognised for being in the Top 10% of the reviewers for NeurIPS 2020
Sep 2020: Our paper "Functional Regularization for Representation Learning: A Unified Theoretical Perspective" got accepted to NeurIPS 2020
Sep 2020: Our paper "BAE: BERT-based Adversarial Examples for Text Classification" got accepted at EMNLP 2020 in the main conference
Sep 2020: Our paper "Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer" got accepted at AACL 2020
Jul 2020: Our paper "Can Adversarial Weight Perturbations Inject Neural Backdoors?" got accepted at CIKM 2020
Jun 2020: I joined Amazon Alexa AI Search as an Applied Scientist
May 2020: Survey on advances in Quantum Deep Learning released
May 2020: Defended my Master's Thesis on representation learning paradigms and their application to text classification
Apr 2020: Pre-print on fine-tuning BERT for data scarce text classification released
Apr 2020: Pre-print on generating adversarial examples for NLP using BERT released
Feb 2020: Presented our paper on transformers for answer selection at AAAI 2020, New York City
Nov 2019: Paper on transformers for answer selection accepted for oral presentation at AAAI 2020
Oct 2019: Paper on making inference graphs interpretable for face recognition accepted at IVCNZ 2019, New Zealand
Sep 2019: Paper on stochastic bandits with delayed composite feedback accepted at NeurIPS 2019 Workshop on ML with Guarantees
Jun 2019: Two posters accepted at the Midwest Machine Learning Symposium(MMLS) 2019
May 2019: I joined Amazon Alexa Search at Manhattan Beach, CA as an Applied Scientist Intern under Alessandro Moschitti
Nov 2018: My co-author Shiv Shankar presented our paper at EMNLP 2018, Brussels, Belgium
Sep 2018: I joined the Department of Computer Science at the University of Wisconsin-Madison as a Masters student
Aug 2018: Short paper on differentiable hard attention for seq2seq learning accepted at EMNLP 2018
May 2018: Defended my Bachelor's Thesis on structured attention models for seq2seq learning