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07/29/2023
GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning
Large-scale language models such as DNABert and LOGO aim to learn optima...
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06/20/2023
A Comparative Audit of Privacy Policies from Healthcare Organizations in USA, UK and India
Data privacy in healthcare is of paramount importance (and thus regulate...
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06/09/2023
FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata
Pre-training Transformers has shown promising results on open-domain and...
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06/06/2023
FinRED: A Dataset for Relation Extraction in Financial Domain
Relation extraction models trained on a source domain cannot be applied ...
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06/06/2023
Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging
The U.S. Securities and Exchange Commission (SEC) mandates all public co...
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05/11/2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Continuous-time models such as Neural ODEs and Neural Flows have shown p...
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04/21/2023
Reducing Opinion Echo-Chambers by Intelligent Placement of Moderate-Minded Agents
In the era of social media, people frequently share their own opinions o...
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03/16/2023
MASCARA: Systematically Generating Memorable And Secure Passphrases
Passwords are the most common mechanism for authenticating users online....
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02/14/2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
State-of-the-art AI models largely lack an understanding of the cause-ef...
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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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01/14/2023
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials
In recent years, graph neural network (GNN) based approaches have emerge...
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12/23/2022
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations
With over 500 million tweets posted per day, in Twitter, it is difficult...
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10/22/2022
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts
Despite tremendous progress in automatic summarization, state-of-the-art...
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05/04/2022
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
Systems like Voice-command based conversational agents are characterized...
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05/02/2022
An Application to Generate Style Guided Compatible Outfit
Fashion recommendation has witnessed a phenomenal growth of research, pa...
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04/28/2022
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
Convincing people to get vaccinated against COVID-19 is a key societal c...
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04/26/2022
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction
Recently, almost all conferences have moved to virtual mode due to the p...
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04/12/2022
A Generative Approach for Financial Causality Extraction
Causality represents the foremost relation between events in financial d...
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03/30/2022
Recommendation of Compatible Outfits Conditioned on Style
Recommendation in the fashion domain has seen a recent surge in research...
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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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12/26/2021
Towards Fair Recommendation in Two-Sided Platforms
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...
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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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11/20/2021
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users
Administering COVID-19 vaccines at a societal scale has been deemed as t...
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10/18/2021
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification
Relation classification (sometimes called 'extraction') requires trustwo...
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09/27/2021
Knowledge-Aware Neural Networks for Medical Forum Question Classification
Online medical forums have become a predominant platform for answering h...
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09/13/2021
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework
Answering questions asked from instructional corpora such as E-manuals, ...
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05/09/2021
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
We propose VADEC, a multi-task framework that exploits the correlation b...
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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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01/24/2021
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles
This paper presents a novel two-stage framework to extract opinionated s...
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11/19/2020
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
A consumer-dependent (business-to-consumer) organization tends to presen...
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10/24/2020
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
The (COVID-19) pandemic-induced restrictions on travel and social gather...
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06/17/2020
Fine-grained Sentiment Controlled Text Generation
Controlled text generation techniques aim to regulate specific attribute...
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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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02/25/2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
We investigate the problem of fair recommendation in the context of two-...
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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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09/22/2019
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
Major online platforms today can be thought of as two-sided markets with...
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09/22/2019
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
Major online platforms today can be thought of as two-sided markets with...
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09/06/2019
Regression Under Human Assistance
Decisions are increasingly taken by both humans and machine learning mod...
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08/31/2019
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Recently, biomedical version of embeddings obtained from language models...
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06/21/2019
A Deep Generative Model for Code-Switched Text
Code-switching, the interleaving of two or more languages within a sente...
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06/13/2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
Multilingual writers and speakers often alternate between two languages ...
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02/14/2018
Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design
Deep generative models have been praised for their ability to learn smoo...
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05/02/2017
Influence of Reviewer Interaction Network on Long-term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics
A `peer-review system' in the context of judging research contributions,...
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10/05/2016