no code implementations • NAACL (CMCL) 2021 • Kartik Sharma, Niyati Bafna, Samar Husain
The models differ in their use of prior context during the prediction process – the context is either noisy or noise-free.
no code implementations • EMNLP (CMCL) 2020 • Kartik Sharma, Richard Futrell, Samar Husain
In this work, we investigate whether the order and relative distance of preverbal dependents in Hindi, an SOV language, is affected by factors motivated by efficiency considerations during comprehension/production.
1 code implementation • 8 Dec 2022 • Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar
In this survey, we first identify 80 papers on GNN-based SocialRS after annotating 2151 papers by following the PRISMA framework (Preferred Reporting Items for Systematic Reviews and Meta-Analysis).
no code implementations • 7 Jul 2022 • Kartik Sharma, Mohit Raghavendra, Yeon Chang Lee, Anand Kumar M, Srijan Kumar
Modeling such dynamics of signed networks is crucial to understanding the evolution of polarization in the network and enabling effective prediction of the signed structure (i. e., link signs and signed weights) in the future.
1 code implementation • 25 Dec 2021 • Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
In this work, we study this problem and show that GNNs remain vulnerable even when the downstream task and model are unknown.
no code implementations • 22 Dec 2019 • Kartik Sharma, Ashutosh Aggarwal, Tanay Singhania, Deepak Gupta, Ashish Khanna
Previously, steganography has been combined with cryptography and neural networks separately.