Ramakanth Pasunuru
Ramakanth Pasunuru
Graduate Student, UNC Chapell Hill
Verified email at cs.unc.edu - Homepage
Cited by
Cited by
Multi-reward reinforced summarization with saliency and entailment
R Pasunuru, M Bansal
arXiv preprint arXiv:1804.06451, 2018
Multi-task video captioning with video and entailment generation
R Pasunuru, M Bansal
arXiv preprint arXiv:1704.07489, 2017
Reinforced video captioning with entailment rewards
R Pasunuru, M Bansal
arXiv preprint arXiv:1708.02300, 2017
Soft layer-specific multi-task summarization with entailment and question generation
H Guo, R Pasunuru, M Bansal
arXiv preprint arXiv:1805.11004, 2018
Dynamic multi-level multi-task learning for sentence simplification
H Guo, R Pasunuru, M Bansal
arXiv preprint arXiv:1806.07304, 2018
Towards improving abstractive summarization via entailment generation
R Pasunuru, H Guo, M Bansal
Proceedings of the Workshop on New Frontiers in Summarization, 27-32, 2017
Game-based video-context dialogue
R Pasunuru, M Bansal
arXiv preprint arXiv:1809.04560, 2018
Autosem: Automatic task selection and mixing in multi-task learning
H Guo, R Pasunuru, M Bansal
arXiv preprint arXiv:1904.04153, 2019
Dstc7-avsd: Scene-aware video-dialogue systems with dual attention
R Pasunuru, M Bansal
DSTC7 at AAAI2019 workshop, 2019
Crowdsourcing lightweight pyramids for manual summary evaluation
O Shapira, D Gabay, Y Gao, H Ronen, R Pasunuru, M Bansal, ...
arXiv preprint arXiv:1904.05929, 2019
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits.
H Guo, R Pasunuru, M Bansal
AAAI, 7830-7838, 2020
Continual and multi-task architecture search
R Pasunuru, M Bansal
arXiv preprint arXiv:1906.05226, 2019
Structural prediction of dynamic Bayesian network with partial prior information
A Maiti, R Reddy, A Mukherjee
IEEE Transactions on NanoBioscience 14 (1), 95-103, 2014
Compressed sensing of respiratory signals promoting joint-sparsity
R Reddy, PR Muduli, A Mukherjee
2016 Twenty Second National Conference on Communication (NCC), 1-5, 2016
Supplementary Material: Reinforced Video Captioning with Entailment Rewards
R Pasunuru, M Bansal
Supplementary Material: Multi-Task Video Captioning with Video and Entailment Generation
R Pasunuru, M Bansal
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