activity
20172021
most citedNetwork Representation Learning: Consolidation and Renewed Bearing

9 citations · 20 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CR2021

URLTran: Improving Phishing URL Detection Using Transformers

Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo +3

Browsers often include security features to detect phishing web pages. In the past, some browsers evaluated an unknown URL for inclusion in a list of known phishing pages. However,…

cs.CL2021

SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis

Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy

Darknet market forums are frequently used to exchange illegal goods and services between parties who use encryption to conceal their identities. The Tor network is used to host the…

cs.DB2020

DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings

Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel +3

Traditional relational databases contain a lot of latent semantic information that have largely remained untapped due to the difficulty involved in automatically extracting such in…

cs.CL2020

Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing

Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt +3

Visual Question Answering (VQA) systems are tasked with answering natural language questions corresponding to a presented image. Traditional VQA datasets typically contain question…

cs.CV2019

LEAF-QA: Locate, Encode & Attend for Figure Question Answering

Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta +3

We introduce LEAF-QA, a comprehensive dataset of densely annotated figures/charts, constructed from real-world open data sources, along with ~2 million question-answer (Q…

cs.LG20199 cited

Network Representation Learning: Consolidation and Renewed Bearing

Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan +9

Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important area of research that has emerged…