基本信息
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Bio
Dinesh Khandelwal is a Research Scientist at IBM India Research Lab. He has a Ph.D. in Machine Learning from IIT Delhi. His primary research interests lie in the area of Deep Learning, Probabilistic Graphical Models, and Question Answering. He also holds a Master's degree in Machine Learning from IISc Bangalore. He has published in top venues for Computer Vision, Machine Learning, and NLP, including AAAI, ACL, CVIU, WACV, and PRL.
Research Interests
Papers共 22 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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期刊级别
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合作机构
Harman Singh,Poorva Garg,Mohit Gupta,Kevin Shah, Ashish Goswami, Satyam Modi,Arnab Mondal,Dinesh Khandelwal,Dinesh Garg,Parag Singla
CoRR (2023)
Sumit Neelam,Udit Sharma,Hima Karanam,Shajith Ikbal,Pavan Kapanipathi,Ibrahim Abdelaziz,Nandana Mihindukulasooriya,Young-Suk Lee,Santosh Srivastava,Cezar Pendus,Saswati Dana,Dinesh Garg,Achille Fokoue,G P Shrivatsa Bhargav,Dinesh Khandelwal,Srinivas Ravishankar,Sairam Gurajada,Maria Chang,Rosario Uceda-Sosa,Salim Roukos,Alexander Gray,Guilherme Lima,Ryan Riegel,Francois Luus,L Venkata Subramaniam
CoRR (2022)
Sumit Neelam,Udit Sharma,Hima Karanam,Shajith Ikbal,Pavan Kapanipathi,Ibrahim Abdelaziz,Nandana Mihindukulasooriya,Young-Suk Lee,Santosh Srivastava,Cezar Pendus,Saswati Dana,Dinesh Garg,Achille Fokoue,G P Shrivatsa Bhargav,Dinesh Khandelwal,Srinivas Ravishankar,Sairam Gurajada,Maria Chang,Rosario Uceda-Sosa,Salim Roukos,Alexander Gray, Guilherme LimaRyan Riegel,Francois Luus,L Venkata Subramaniam
Conference on Empirical Methods in Natural Language Processingpp.3866-3879, (2022)
2022 International Joint Conference on Neural Networks (IJCNN) (2022)
SMART@ISWCpp.14-22, (2021)
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Author Statistics
#Papers: 22
#Citation: 290
H-Index: 7
G-Index: 12
Sociability: 4
Diversity: 2
Activity: 17
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