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ORCIDArihant Jain
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2020 – today
- 2025
[c16]Arihant Jain
, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
FastDTI: A 3D Scale-Arbitrary Super-Resolution Autoencoder Residual Dense Network for DTI. SASHIMI@MICCAI 2025 2025: 129-138- [c15]Rishav Sahay, Arihant Jain, Purav Aggarwal, Anoop Saladi:
AutoKB: Automated Creation of Structured Knowledge Bases for Domain-Specific Support. NAACL (Industry Track) 2025: 708-723 - [c14]Arihant Jain, Purav Aggarwal, Rishav Sahay, Chaosheng Dong, Anoop Saladi:
AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems. NAACL (Long Papers) 2025: 10133-10148 - [i8]Zheng Tang, Shuo Wang, David C. Anastasiu, Ming-Ching Chang, Anuj Sharma, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Fady Alnajjar, Jun-Wei Hsieh, Tomasz Kornuta, Xiaolong Li, Yilin Zhao, Han Zhang, Subhashree Radhakrishnan, Arihant Jain, Ratnesh Kumar, Vidya N. Murali, Yuxing Wang, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Xunlei Wu, Zhedong Zheng, Pranamesh Chakraborty, Rama Chellappa:
The 9th AI City Challenge. CoRR abs/2508.13564 (2025) - [i7]Ishaan Bhola, Mukunda NS, Sravanth Kurmala, Harsh Nandwani, Arihant Jain:
Trained Miniatures: Low cost, High Efficacy SLMs for Sales & Marketing. CoRR abs/2508.15617 (2025) - 2024
- [c13]Sambeet Tiady, Arihant Jain, Dween Rabius Sanny, Khushi Gupta, Srinivas Virinchi, Swapnil Gupta, Anoop Saladi, Deepak Gupta:
MERLIN: Multimodal & Multilingual Embedding for Recommendations at Large-scale via Item Associations. CIKM 2024: 4914-4921 - [c12]Haoran Zhu, Maryam Majzoubi, Arihant Jain, Anna Choromanska:
TAME: Task Agnostic Continual Learning using Multiple Experts. CVPR Workshops 2024: 4139-4148 - [c11]Arihant Jain, Raksha Sharma:
Enhancing Legal Named Entity Recognition Using RoBERTa-GCN with CRF: A Nuanced Approach for Fine-Grained Entity Recognition. ECIR (3) 2024: 261-267 - [c10]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Keerthi Ram, Mohanasankar Sivaprakasam:
Knowledge Models for Cancer Clinical Practice Guidelines: Construction, Management and Usage in Question Answering. EMBC 2024: 1-4 - [i6]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Keerthi Ram, Mohanasankar Sivaprakasam:
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering. CoRR abs/2407.21053 (2024) - 2023
- [c9]Arihant Jain, Petri Toiviainen, Vinoo Alluri:
Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity Measures. BI 2023: 191-202 - [c8]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam:
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines. EMBC 2023: 1-4 - [c7]Arihant Jain, Gundeep Arora, Anoop Saladi:
Boosting the Performance of Deployable Timestamped Directed GNNs via Time-Relaxed Sampling. ECML/PKDD (6) 2023: 190-206 - [c6]Sai Usha Nagasri Goparaju, Keerthi Pothalaraju, Shriya Dullur, Arihant Jain, Deepak Gangadharan:
Time-Series based Fall Detection in Two-Wheelers. VTC Fall 2023: 1-5 - [i5]Pralaypati Ta, Bhumika Gupta, Arihant Jain, Sneha Sree C, Arunima Sarkar, Keerthi Ram, Mohanasankar Sivaprakasam:
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines. CoRR abs/2307.10231 (2023) - 2022
- [c5]Arihant Jain, Curtis E. Dyreson, Sourav S. Bhowmick:
Generating Plugs and Data Sockets for Plug-and-Play Database Web Services. CoopIS 2022: 279-288 - [c4]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan:
A Closer Look at Smoothness in Domain Adversarial Training. ICML 2022: 18378-18399 - [i4]Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu:
A Closer Look at Smoothness in Domain Adversarial Training. CoRR abs/2206.08213 (2022) - [i3]Haoran Zhu, Maryam Majzoubi, Arihant Jain, Anna Choromanska:
TAME: Task Agnostic Continual Learning using Multiple Experts. CoRR abs/2210.03869 (2022) - 2021
- [c3]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. ICCV 2021: 7496-7505 - [i2]Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. CoRR abs/2109.08901 (2021) - 2020
- [j4]Himanshu Shukla, Arihant Jain, Amit Kuber:
Definable combinatorics with dense linear orders. Arch. Math. Log. 59(5-6): 679-701 (2020) - [c2]Arihant Jain, Brenden M. Lake, Todd M. Gureckis:
Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. CogSci 2020
2010 – 2019
- 2017
- [j3]U. Rajendra Acharya, Hamido Fujita, K. Vidya Sudarshan, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Jie Hui Koo, Arihant Jain, Choo Min Lim, Kuang Chua Chua:
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal. Knowl. Based Syst. 132: 156-166 (2017) - 2015
- [c1]Vandna Bhalla, Santanu Chaudhury, Arihant Jain:
A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine. PReMI 2015: 215-224 - [i1]Vandna Bhalla, Santanu Chaudhury, Arihant Jain:
A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine. CoRR abs/1503.03270 (2015) - 2014
- [j2]Arihant Jain:
Semi-Deterministic Virtual Finite Automaton(SDVFA) of order (s, t) and Regular Grammar. Ars Comb. 115: 187-196 (2014) - [j1]Arihant Jain:
Equivalence of SDVFA of order (s, t) with DFA, VDFA, NFA and e-NFA. Ars Comb. 117: 363-373 (2014)
Coauthor Index
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