Hi, I hope you are having a Good Day!
I am a lazy researcher who works (with my friends in need) towards making NLP systems more robust (indeed) and have majorly contributed in the following areas of NLP and ML:
Analysis of knowledge encoded in NLP models that could be helpful for (let's say) gender debiasing a system.
Designing theoretically grounded algorithms to make models more explainable.
Knowledge transfer from multiple models with confidence.
After gaining invaluable experience learning at BITS Pilani, I have amassed research ethics and attitude from various groups such as CEERI, University of Alberta, and National University of Singapore. When it comes to most valuable research experiences, I can not think beyond my research tenure at Salesforce research Asia and Amazon Science, California.
Most of my efficient learning in the domain of AI came after I joined SUTD as a Ph.D. candidate in 2020. One year of the worthy ride on the Ph.D. tuk-tuk carried me from the applied stop of the machine learning to the stop where I found interest in theoretical considerations of NLP models, i.e., mathematical analysis of learned representations and how to perform efficient distillation of the encoded knowledge. During the ride, I have shared the space with a few people (co-authors) without whom the journey would not be this exciting. Optimistically and without being overambitious (I had to check spellings of both the confusing words), I am generously waiting for the next few stops before the tuk-tuk says goodbye to me.
(Rishabh Bhardwaj and Navonil Majumder and Soujanya Poria and Eduard Hovy.)
Cognitive Computation (2021)
(Rishabh Bhardwaj and Navonil Majumder and Soujanya Poria.)
(Navonil Majumder* and Rishabh Bhardwaj* and Soujanya Poria and Amir Zadeh and Alexander Gelbukh and Amir Hussain and Louis-Philippe Morency)
(Jiaqi Pan* and Rishabh Bhardwaj* and Wei Lu and Hai Leong Chieu and Xinghao Pan and Ni Yi Puay)
In total, I have gotten a chance to co-author more than 10 research papers
related to applied machine learning or designing algorithms to make it robust.
I have been a part of reviewing committee at top-tier NLP conferences such as EMNLP 2021, ACL 2021, NAACL 2021, ACL 2020, and Journals such as Information Fusion and Neural Computing and Applications.
Sentiment Analysis - 2nd rank
Shopee Sentiment Analysis Challenge.
Product Detection - 2nd rank
Shopee Product Detection Challenge.
Thanks to my mentor Soujanya for pushing my boundaries. I have experience in programming languages such as Java and C++. Most of my current experiments utilize Python and PyTorch. I use Tensorflow for industry-related projects.
Teaching: I have given a 2-hour online lesson covering the need for PyTorch over NumPy in-depth. I am attaching the video if you find it useful!
PyTorch Basics: A student's perspective.
Looking forward to answering your email.