77 citations · 129 across the 18 of their papers we have counts for
4 papers · 1 filter
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
Tony Gracious, Shubham Gupta, Arun Kanthali +2
Although static networks have been extensively studied in machine learning, data mining, and AI communities for many decades, the study of dynamic networks has recently taken cente…
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates
Shubham Gupta, Gururaj K., Ambedkar Dukkipati +1
Networks with node covariates offer two advantages to community detection methods, namely, (i) exploit covariates to improve the quality of communities, and more importantly, (ii)…
Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
Rishi Hazra, Parag Dutta, Shubham Gupta +2
While deep learning is a powerful tool for natural language processing (NLP) problems, successful solutions to these problems rely heavily on large amounts of annotated samples. Ho…
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks
Shubham Gupta, Ambedkar Dukkipati
Humans use language to collectively execute abstract strategies besides using it as a referential tool for identifying physical entities. Recently, multiple attempts at replicating…