See Google Scholar for full list.
Representation Deficiency in Masked Language Modeling
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han and Luke Zettlemoyer
In ICLR 2024, 12th International Conference on Learning Representations.
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction
Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa and Hao Ma
In Proceedings of EMNLP 2022
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit and Huzefa Rangwala
In IEEE International Conference on Big Data 2022
Code: Github link
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit and Huzefa Rangwala
In Proceedings of the 1st Workshop on Multilingual Representation Learning at EMNLP 2021
Code: Github link
Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift
Jitin Krishnan, Hemant Purohit and Huzefa Rangwala
In Proceedings of the 19th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2020
Code: Github link, Slides: SlidesLive
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services
Jitin Krishnan, Hemant Purohit and Huzefa Rangwala
In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2020
Code: Github Link
Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets
Jitin Krishnan, Hemant Purohit and Huzefa Rangwala
In Proceedings of Workshop on Knowledge-infused Mining and Learning at KDD 2020
Code: Github Link
Common-Knowledge Concept Recognition for SEVA
Jitin Krishnan, Patrick Coronado, Hemant Purohit and Huzefa Rangwala
In Proceedings of the AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE) 2020
Code: Github Link
Homicidal Event Forecasting and Interpretable Analysis Using Hierarchical Attention Model
Angeela Acharya, Jitin Krishnan, Desmond Arias and Huzefa Rangwala
In Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) 2020
SEVA: A Systems Engineer’s Virtual Assistant
Jitin Krishnan, Patrick Coronado and Trevor Reed
In Proceedings of the AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE) 2019
Code: Github Link