no code implementations • EMNLP 2020 • Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi
Neural Conversational QA tasks such as ShARC require systems to answer questions based on the contents of a given passage.
no code implementations • 19 Apr 2024 • Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay
This study introduces RT-HMD, a Hardware-based Malware Detector (HMD) for mobile devices, that refines malware representation in segmented time-series through a Multiple Instance Learning (MIL) approach.
no code implementations • 9 Apr 2024 • Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
Locally interacting dynamical systems, such as epidemic spread, rumor propagation through crowd, and forest fire, exhibit complex global dynamics originated from local, relatively simple, and often stochastic interactions between dynamic elements.
no code implementations • 6 Mar 2024 • Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
We show that the LNP can leverage diversity in neuronal timescales to design a sparse Heterogeneous RSNN (HRSNN).
no code implementations • 23 Feb 2024 • Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay
We identify the Expected Calibration Error (ECE) as a robust metric that tests the proposed evaluation criteria, offering asymptotic guarantees of proper scoring rules and improved interpretability through calibration curves.
no code implementations • 31 Oct 2023 • Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multivariate time series data.
1 code implementation • 18 Aug 2023 • Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra
Automated log analysis is a critical task in AIOps as it provides key insights for SREs to identify and address ongoing faults.
no code implementations • 28 Oct 2022 • Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
As an example, we consider a forest fire model where we aim to predict when a particular tree agent will start burning.
no code implementations • 13 Jul 2022 • Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
Learning the evolution of real-time strategy (RTS) game is a challenging problem in artificial intelligent (AI) system.
no code implementations • SEMEVAL 2021 • Harshit Kumar, Jinang Shah, Nidhi Hegde, Priyanshu Gupta, Vaibhav Jindal, Ashutosh Modi
To tackle this issue of availability of annotated data, a lot of research has been done on unsupervised domain adaptation that tries to generate systems for an unlabelled target domain data, given labeled source domain data.
no code implementations • 31 May 2021 • Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra
We propose a combination of unsupervised and supervised model with minimum human intervention that leverages domain knowledge to predict artefacts for a small amount of conversation data and use that for fine-tuning an already pretrained language model for artefact prediction on a large amount of conversation data.
no code implementations • 21 Mar 2021 • Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
Hardware-based Malware Detectors (HMDs) using Machine Learning (ML) models have shown promise in detecting malicious workloads.
no code implementations • 17 Feb 2021 • Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd
The process of continuous integration/deployment (CICD) in cloud connects developers who need to deliver value faster and more transparently with site reliability engineers (SREs) who need to manage applications reliably.
1 code implementation • EMNLP 2021 • Vivek Iyer, Arvind Agarwal, Harshit Kumar
Ontology Alignment is an important research problem applied to various fields such as data integration, data transfer, data preparation, etc.
no code implementations • 16 Oct 2020 • Vivek Iyer, Arvind Agarwal, Harshit Kumar
Ontology Alignment is an important research problem that finds application in various fields such as data integration, data transfer, data preparation etc.
no code implementations • IJCNLP 2019 • Harshit Kumar, Arvind Agarwal, Sachindra Joshi
This paper proposes an end-to-end multi-task model for conversation modeling, which is optimized for two tasks, dialogue act prediction and response selection, with the latter being the task of interest.
2 code implementations • 9 Sep 2019 • Nikhil Verma, Abhishek Sharma, Dhiraj Madan, Danish Contractor, Harshit Kumar, Sachindra Joshi
On studying recent state-of-the-art models on the ShARCQA task, we found indications that the models learn spurious clues/patterns in the dataset.
no code implementations • COLING 2018 • Harshit Kumar, Arvind Agarwal, Sachindra Joshi
The utility of additional semantic information for the task of next utterance selection in an automated dialogue system is the focus of study in this paper.
3 code implementations • 13 Sep 2017 • Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, Arun Kumar
Dialogue Act recognition associate dialogue acts (i. e., semantic labels) to utterances in a conversation.