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Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface


Dec 21, 2021
Vaibhav Kumar, Mark Flanagan, Rui Zhang, Le-Nam Tran

* 5 pages, 5 figures 

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Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings


Sep 28, 2021
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty

* 8 pages 

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On the Effective Rate of NOMA in Underlay Spectrum Sharing


Sep 07, 2021
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan

* 6 pages. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021 

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A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access


Sep 02, 2021
Vaibhav Kumar, Muhammad Fainan Hanif, Markku Juntti, Le-Nam Tran

* 5 pages, 5 figures 

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Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels


Aug 24, 2021
Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran


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On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel


May 24, 2021
Anshu Mukherjee, Vaibhav Kumar, Eduard Jorswieck, Björn Ottersten, Le-Nam Tran


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Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings


Oct 25, 2020
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar

* 6 pages, 3 figures 

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Ranking Clarification Questions via Natural Language Inference


Aug 18, 2020
Vaibhav Kumar, Vikas Raunak, Jamie Callan

* Accepted at CIKM 2020 

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ClarQ: A large-scale and diverse dataset for Clarification Question Generation


Jun 11, 2020
Vaibhav Kumar, Alan W. black

* Accepted at ACL 2020 

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Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings


Jun 02, 2020
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty

* TACL 2020 

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On Compositionality in Neural Machine Translation


Dec 14, 2019
Vikas Raunak, Vaibhav Kumar, Florian Metze

* Accepted at Context and Compositionality Workshop, NeurIPS 2019 

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On Dimensional Linguistic Properties of the Word Embedding Space


Oct 05, 2019
Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze

* Accepted at ACL SRW 2019 

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Writer Independent Offline Signature Recognition Using Ensemble Learning


Jan 19, 2019
Sourya Dipta Das, Himanshu Ladia, Vaibhav Kumar, Shivansh Mishra

* 6 pages, 2 figures, International Conference on Data Science, Machine Learning & Applications (ICDSMLA) 

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SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection


Aug 02, 2018
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma

* "SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection". In Proceedings of SIGIR 2018 Workshop on Computational Surprise in Information Retrieval, Ann Arbor, MI, USA, July 8-12 (CompS'18, SIGIR), 4 pages 
* Accepted at SIGIR 2018 as Computational Surprise in Information Retrieval (CompS) Workshop Paper. arXiv admin note: substantial text overlap with arXiv:1710.01507 

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Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks


Aug 01, 2018
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma

* "Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks". In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval 2018. Pages: 1225-1228 
* Accepted at SIGIR 2018 as Short Paper 

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