b'Niloy Ganguly'

research

∙ 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...

0 Soumyadeep Roy, et al. ∙

research

∙ 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...

0 Gunjan Balde, et al. ∙

research

∙ 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...

0 Abhilash Nandy, et al. ∙

research

∙ 06/06/2023

FinRED: A Dataset for Relation Extraction in Financial Domain

Relation extraction models trained on a source domain cannot be applied ...

0 Soumya Sharma, et al. ∙

research

∙ 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...

0 Soumya Sharma, et al. ∙

research

∙ 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...

0 Jingge Xiao, et al. ∙

research

∙ 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...

0 Prithwish Jana, et al. ∙

research

∙ 03/16/2023

MASCARA: Systematically Generating Memorable And Secure Passphrases

Passwords are the most common mechanism for authenticating users online....

0 Avirup Mukherjee, et al. ∙

research

∙ 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...

0 Niloy Ganguly, et al. ∙

research

∙ 01/14/2023

Opponent-aware Role-based Learning in Team Competitive Markov Games

Team competition in multi-agent Markov games is an increasingly importan...

0 Paramita Koley, et al. ∙

research

∙ 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...

0 Kishalay Das, et al. ∙

research

∙ 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...

0 Parantapa Bhattacharya, et al. ∙

research

∙ 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...

2 Rajdeep Mukherjee, et al. ∙

research

∙ 05/04/2022

A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection

Systems like Voice-command based conversational agents are characterized...

0 Ankan Mullick, et al. ∙

research

∙ 05/02/2022

An Application to Generate Style Guided Compatible Outfit

Fashion recommendation has witnessed a phenomenal growth of research, pa...

0 Debopriyo Banerjee, et al. ∙

research

∙ 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...

0 Soham Poddar, et al. ∙

research

∙ 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...

13 Gourab K Patro, et al. ∙

research

∙ 04/12/2022

A Generative Approach for Financial Causality Extraction

Causality represents the foremost relation between events in financial d...

3 Tapas Nayak, et al. ∙

research

∙ 03/30/2022

Recommendation of Compatible Outfits Conditioned on Style

Recommendation in the fashion domain has seen a recent surge in research...

0 Debopriyo Banerjee, et al. ∙

research

∙ 01/05/2022

Offsetting Unequal Competition through RL-assisted Incentive Schemes

This paper investigates the dynamics of competition among organizations ...

0 Paramita Koley, et al. ∙

research

∙ 12/26/2021

Towards Fair Recommendation in Two-Sided Platforms

Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...

0 Arpita Biswas, et al. ∙

research

∙ 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...

0 Rajdeep Mukherjee, et al. ∙

research

∙ 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...

0 Soham Poddar, et al. ∙

research

∙ 10/18/2021

A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification

Relation classification (sometimes called 'extraction') requires trustwo...

0 Arijit Nag, et al. ∙

research

∙ 09/27/2021

Knowledge-Aware Neural Networks for Medical Forum Question Classification

Online medical forums have become a predominant platform for answering h...

9 Soumyadeep Roy, et al. ∙

research

∙ 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, ...

10 Abhilash Nandy, et al. ∙

research

∙ 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...

0 Rajdeep Mukherjee, et al. ∙

research

∙ 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...

9 Soumi Das, et al. ∙

research

∙ 02/11/2021

Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach

The networked opinion diffusion in online social networks (OSN) is often...

0 Paramita Koley, et al. ∙

research

∙ 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...

0 Rajkumar Pujari, et al. ∙

research

∙ 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...

4 Soumyadeep Roy, et al. ∙

research

∙ 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...

12 Gourab K Patro, et al. ∙

research

∙ 06/17/2020

Fine-grained Sentiment Controlled Text Generation

Controlled text generation techniques aim to regulate specific attribute...

0 Bidisha Samanta, et al. ∙

research

∙ 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 ...

0 Rajdeep Mukherjee, et al. ∙

research

∙ 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-...

16 Gourab K Patro, et al. ∙

research

∙ 11/06/2019

Map Enhanced Route Travel Time Prediction using Deep Neural Networks

Travel time estimation is a fundamental problem in transportation scienc...

0 Soumi Das, et al. ∙

research

∙ 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...

0 Gourab K Patro, et al. ∙

research

∙ 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...

0 Gourab K Patro, et al. ∙

research

∙ 09/06/2019

Regression Under Human Assistance

Decisions are increasingly taken by both humans and machine learning mod...

0 Abir De, et al. ∙

research

∙ 08/31/2019

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

Recently, biomedical version of embeddings obtained from language models...

0 Soumya Sharma, et al. ∙

research

∙ 06/21/2019

A Deep Generative Model for Code-Switched Text

Code-switching, the interleaving of two or more languages within a sente...

0 Bidisha Samanta, et al. ∙

research

∙ 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 ...

0 Bidisha Samanta, et al. ∙

research

∙ 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...

0 Bidisha Samanta, et al. ∙

research

∙ 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,...

0 Sandipan Sikdar, et al. ∙

research

∙ 10/05/2016

Summarizing Situational and Topical Information During Crises

The use of microblogging platforms such as Twitter during crises has bec...

0 Koustav Rudra, et al. ∙

Niloy Ganguly

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