Paper Acceptance
Our paper Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis was accepted at EACL (Findings) 2023. #NLP #LargeLanguageModels #BERT #InterpretableDeepLearning #InformationRetrieval
Vineeth Rakesh Mohan
Senior Researcher/Tech Lead, Visa Research, Forster City, CA
I am a researcher at Visa Machine Learning and AI Lab at Foster City, CA. I obtained my Phd in Computer Engineering from Wayne State University under the guidance of Dr. Chandan K. Reddy and conducted my postdoctoral research under the guidance of Dr. Huan Liu.
My primary interests include probabilistic deep learning, generative AI, approximate inference methods, natural language understanding, and large language models. Additionally, I have a broad interest in applying these techniques to user personalization, information retrieval, recommendation systems, and other emerging problems in machine learning. You can view my Google Scholar Profile here.
Updates
-
Jan 2023
-
Sept 2022
Paper Acceptance
Our paper Supervised Contrastive Learning for Interpretable Long-Form Document Matching was accepted at ACM Transactions on KDD 2022. #NLP #LargeLanguageModels #BERT #InterpretableDeepLearning #InformationRetrieval
-
May 2022
Paper Acceptance
Our paper SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction was accepted at CIKM 2022. #ActiveLearning #InformationRetrieval