9 citations · 13 across the 5 of their papers we have counts for
5 papers
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
Akshita Jha, Adithya Samavedhi, Vineeth Rakesh +2
Recent advances in the area of long document matching have primarily focused on using transformer-based models for long document encoding and matching. There are two primary challe…
Supervised Contrastive Learning for Interpretable Long-Form Document Matching
Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar +2
Recent advancements in deep learning techniques have transformed the area of semantic text matching. However, most state-of-the-art models are designed to operate with short docume…
Inferring Networked Device Categories from Low-Level Activity Indicators
Kyumars Sheykh Esmaili, Jaideep Chandrashekar, Pascal Le Guyadec
We study the problem of inferring the type of a networked device in a home network by leveraging low level traffic activity indicators seen at commodity home gateways. We analyze a…
Taming the Android AppStore: Lightweight Characterization of Android Applications
Luigi Vigneri, Jaideep Chandrashekar, Ioannis Pefkianakis +1
There are over 1.2 million applications on the Google Play store today with a large number of competing applications for any given use or function. This creates challenges for user…
Mixture Models of Endhost Network Traffic
John Mark Agosta, Jaideep Chandrashekar, Mark Crovella +2
In this work we focus on modeling a little studied type of traffic, namely the network traffic generated from endhosts. We introduce a parsimonious parametric model of the marginal…