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01/14/2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Team competition in multi-agent Markov games is an increasingly importan...
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06/23/2022
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
A large fraction of data generated via human activities such as online p...
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03/14/2022
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection
Data valuation and subset selection have emerged as valuable tools for a...
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01/05/2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes
This paper investigates the dynamics of competition among organizations ...
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12/10/2021
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs
Occurrences of catastrophes such as natural or man-made disasters trigge...
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10/10/2021
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion...
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08/26/2021
Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis
Aspect level sentiment classification (ALSC) is a difficult problem with...
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04/28/2021
Finding High-Value Training Data Subset through Differentiable Convex Programming
Finding valuable training data points for deep neural networks has been ...
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03/24/2021
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
Training vision-based Urban Autonomous driving models is a challenging p...
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02/11/2021
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach
The networked opinion diffusion in online social networks (OSN) is often...
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06/10/2020
Scalable Backdoor Detection in Neural Networks
Recently, it has been shown that deep learning models are vulnerable to ...
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06/08/2020
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews
Manually extracting relevant aspects and opinions from large volumes of ...
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11/06/2019
Map Enhanced Route Travel Time Prediction using Deep Neural Networks
Travel time estimation is a fundamental problem in transportation scienc...
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11/18/2018
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark
This paper presents a new fast, highly scalable distributed matrix multi...
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01/15/2018
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark
The growth of big data in domains such as Earth Sciences, Social Network...
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10/06/2016
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences
Tests for Esophageal cancer can be expensive, uncomfortable and can have...
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10/16/2012