Mohit Bansal is a researcher affiliated with the University of North Carolina at Chapel Hill in the United States. Their work primarily spans the field of Computer Science, with significant contributions to Artificial Intelligence and Computer Vision and Pattern Recognition. They have also published in areas such as Surgery, Control and Systems Engineering, and Information Systems.
Their research topics cover a diverse range within machine learning and artificial intelligence, including:
Bansal's publication record features papers in notable venues such as arXiv (Cornell University), AAAI Conference on Artificial Intelligence, and conferences related to Computational Linguistics and Empirical Methods in NLP. Frequent venues include:
Examples of recent papers authored or co-authored by Bansal include:
Bansal collaborates regularly with several co-authors, including:
Hao Tan;Mohit Bansal
Makoto Miwa;Mohit Bansal
Licheng Yu;Zhe Lin;Xiaohui Shen;Jimei Yang
Yixin Nie;Adina Williams;Emily Dinan;Mohit Bansal
Yen-Chun Chen;Mohit Bansal
Jie Lei;Linjie Li;Luowei Zhou;Zhe Gan
Unknown
Jie Lei;Licheng Yu;Mohit Bansal;Tamara L. Berg
John Wieting;Mohit Bansal;Kevin Gimpel;Karen Livescu
Mohit Bansal;Kevin Gimpel;Karen Livescu
Hao Tan;Licheng Yu;Mohit Bansal
John Wieting;Mohit Bansal;Kevin Gimpel;Karen Livescu
Hongyuan Mei;Mohit Bansal;Matthew R. Walter
Yixin Nie;Haonan Chen;Mohit Bansal
Licheng Yu;Hao Tan;Mohit Bansal;Tamara L. Berg
Jie Lei;Licheng Yu;Tamara L. Berg;Mohit Bansal
Hongyuan Mei;Mohit Bansal;Matthew R. Walter
Chen Kong;Dahua Lin;Mohit Bansal;Raquel Urtasun
Peter Hase;Mohit Bansal
John Wieting;Mohit Bansal;Kevin Gimpel;Karen Livescu
Douwe Kiela;Max Bartolo;Yixin Nie;Divyansh Kaushik
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