Search Results for author: Kartik Sharma

Found 7 papers, 2 papers with code

Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication

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.

Sentence Completion

What Determines the Order of Verbal Dependents in Hindi? Effects of Efficiency in Comprehension and Production

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.

A Survey of Graph Neural Networks for Social Recommender Systems

1 code implementation8 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).

Recommendation Systems

Representation Learning in Continuous-Time Dynamic Signed Networks

no code implementations7 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.

Link Sign Prediction Representation Learning

Task and Model Agnostic Adversarial Attack on Graph Neural Networks

1 code implementation25 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.

Adversarial Attack Q-Learning

Hiding Data in Images Using Cryptography and Deep Neural Network

no code implementations22 Dec 2019 Kartik Sharma, Ashutosh Aggarwal, Tanay Singhania, Deepak Gupta, Ashish Khanna

Previously, steganography has been combined with cryptography and neural networks separately.

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