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ORCIDTejas I. Dhamecha
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2020 – today
- 2024
[i4]Sanchit Ahuja, Kumar Tanmay, Hardik Hansrajbhai Chauhan, Barun Patra, Kriti Aggarwal, Luciano Del Corro, Arindam Mitra, Tejas Indulal Dhamecha, Ahmed Awadallah, Monojit Choudhary, Vishrav Chaudhary, Sunayana Sitaram:
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting. CoRR abs/2407.09879 (2024)- 2023
- [c26]Rudra Murthy V, Riyaz Bhat, Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas I. Dhamecha, Danish Contractor, Marina Danilevsky:
Semi-Structured Object Sequence Encoders. EMNLP (Findings) 2023: 9026-9039 - [i3]Rudra Murthy V, Riyaz Bhat, R. Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas Indulal Dhamecha, Danish Contractor, Marina Danilevsky:
Semi-Structured Object Sequence Encoders. CoRR abs/2301.01015 (2023) - 2022
- [c25]Vishwajeet Kumar, Rudra Murthy V, Tejas I. Dhamecha:
On Utilizing Constituent Language Resources to Improve Downstream Tasks in Hinglish. EMNLP (Findings) 2022: 3859-3865 - 2021
- [j4]Tejas I. Dhamecha, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Kernelized Heterogeneity-Aware Cross-View Face Recognition. Frontiers Artif. Intell. 4: 670538 (2021) - [c24]Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas I. Dhamecha, Preethi Jyothi, Samarth Bharadwaj, Pushpak Bhattacharyya:
Disfluency Correction using Unsupervised and Semi-supervised Learning. EACL 2021: 3421-3427 - [c23]Tejas I. Dhamecha, V. Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya:
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. EMNLP (1) 2021: 8584-8595 - [i2]Tejas Indulal Dhamecha, V. Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya:
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. CoRR abs/2109.10534 (2021) - 2020
- [c22]Sneha Mondal, Tejas I. Dhamecha, Smriti Pathak, Red Mendoza
, Gayathri K. Wijayarathna, Paul Gagnon, Jan Carlstedt-Duke:
Learning Outcomes and Their Relatedness Under Curriculum Drift. AIED (2) 2020: 214-219 - [c21]Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke, Smriti Pathak, Sneha Mondal, Akshay Gugnani, Nabil Zary, Malolan Chetlur:
AI Medical School Tutor: Modelling and Implementation. AIME 2020: 133-145
2010 – 2019
- 2019
- [j3]Tejas Indulal Dhamecha, Afzel Noore, Richa Singh, Mayank Vatsa:
Between-subclass piece-wise linear solutions in large scale kernel SVM learning. Pattern Recognit. 95: 173-190 (2019) - [c20]Chul Sung, Tejas Indulal Dhamecha, Nirmal Mukhi:
Improving Short Answer Grading Using Transformer-Based Pre-training. AIED (1) 2019: 469-481 - [c19]Sneha Mondal, Tejas I. Dhamecha, Shantanu Godbole, Smriti Pathak, Red Mendoza, K. Gayathri Wijayarathna, Nabil Zary, Swarnadeep Saha, Malolan Chetlur:
Learning Outcomes and Their Relatedness in a Medical Curriculum. BEA@ACL 2019: 402-411 - [c18]Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora:
Pre-Training BERT on Domain Resources for Short Answer Grading. EMNLP/IJCNLP (1) 2019: 6070-6074 - [c17]Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole:
Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach. IJCAI 2019: 5168-5174 - [c16]Shazia Afzal, Tejas I. Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura, Jessica Yarbro:
Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System. NAACL-HLT (2) 2019: 114-121 - [i1]Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta:
Joint Multi-Domain Learning for Automatic Short Answer Grading. CoRR abs/1902.09183 (2019) - 2018
- [j2]Tejas I. Dhamecha, Mahek Shah, Priyanka Verma, Mayank Vatsa, Richa Singh:
CrowdFaceDB: Database and benchmarking for face verification in crowd. Pattern Recognit. Lett. 107: 17-24 (2018) - [c15]Tejas I. Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta:
Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors. AIED (1) 2018: 70-85 - [c14]Matthew Ventura, Maria Chang, Peter W. Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John T. Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'Helon, Ravi Tejwani, Shazia Afzal:
Preliminary Evaluations of a Dialogue-Based Digital Tutor. AIED (2) 2018: 480-483 - [c13]Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Renuka Sindhgatta, Bikram Sengupta:
Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both. AIED (1) 2018: 503-517 - [c12]Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta:
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading. CIKM 2018: 993-1002 - 2017
- [c11]Renuka Sindhgatta, Smit Marvaniya, Tejas I. Dhamecha, Bikram Sengupta:
Inferring Frequently Asked Questions from Student Question Answering Forums. EDM 2017 - 2016
- [j1]Tejas Indulal Dhamecha, Richa Singh, Mayank Vatsa:
On incremental semi-supervised discriminant analysis. Pattern Recognit. 52: 135-147 (2016) - [c10]Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Face anti-spoofing with multifeature videolet aggregation. ICPR 2016: 1035-1040 - [c9]Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa:
Discriminative FaceTopics for face recognition via latent Dirichlet allocation. WACV 2016: 1-8 - [p1]Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, Mayank Vatsa:
Understanding Thermal Face Detection: Challenges and Evaluation. Face Recognition Across the Imaging Spectrum 2016: 139-163 - 2015
- [c8]Soumyadeep Ghosh, Tejas I. Dhamecha, Rohit Keshari, Richa Singh, Mayank Vatsa:
Feature and keypoint selection for visible to near-infrared face matching. BTAS 2015: 1-7 - [c7]Tejas I. Dhamecha, Priyanka Verma, Mahek Shah, Richa Singh, Mayank Vatsa:
Annotated crowd video face database. ICB 2015: 106-112 - 2014
- [c6]Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa:
On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching. ICPR 2014: 1788-1793 - 2013
- [c5]Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh:
Computationally Efficient Face Spoofing Detection with Motion Magnification. CVPR Workshops 2013: 105-110 - [c4]Tejas I. Dhamecha, Aastha Nigam, Richa Singh, Mayank Vatsa:
Disguise detection and face recognition in visible and thermal spectrums. ICB 2013: 1-8 - 2012
- [c3]Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh:
Incremental subclass discriminant analysis: A case study in face recognition. ICIP 2012: 593-596 - 2011
- [c2]Tejas I. Dhamecha, Anush Sankaran, Richa Singh, Mayank Vatsa:
Is gender classification across ethnicity feasible using discriminant functions? IJCB 2011: 1-7 - [c1]Anush Sankaran, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh:
On matching latent to latent fingerprints. IJCB 2011: 1-6
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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