Tejas I. Dhamecha

According to our database, Tejas I. Dhamecha authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting.

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

CoRR, 2024

2023

Semi-Structured Object Sequence Encoders.

Rudra Murthy V, Riyaz Bhat, R. Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas Indulal Dhamecha, Danish Contractor, Marina Danilevsky

CoRR, 2023

Semi-Structured Object Sequence Encoders.

Rudra Murthy V, Riyaz Bhat, Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas I. Dhamecha, Danish Contractor, Marina Danilevsky

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

On Utilizing Constituent Language Resources to Improve Downstream Tasks in Hinglish.

Vishwajeet Kumar, Rudra Murthy V, Tejas I. Dhamecha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Kernelized Heterogeneity-Aware Cross-View Face Recognition.

Tejas I. Dhamecha, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh

Frontiers Artif. Intell., 2021

Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages.

Tejas I. Dhamecha, V. Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Disfluency Correction using Unsupervised and Semi-supervised Learning.

Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas I. Dhamecha, Preethi Jyothi, Samarth Bharadwaj, Pushpak Bhattacharyya

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

AI Medical School Tutor: Modelling and Implementation.

Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke, Smriti Pathak, Sneha Mondal, Akshay Gugnani, Nabil Zary, Malolan Chetlur

Proceedings of the Artificial Intelligence in Medicine, 2020

Learning Outcomes and Their Relatedness Under Curriculum Drift.

Sneha Mondal, Tejas I. Dhamecha, Smriti Pathak, Red Mendoza, Gayathri K. Wijayarathna, Paul Gagnon, Jan Carlstedt-Duke

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Between-subclass piece-wise linear solutions in large scale kernel SVM learning.

Tejas Indulal Dhamecha, Afzel Noore, Richa Singh, Mayank Vatsa

Pattern Recognit., 2019

Joint Multi-Domain Learning for Automatic Short Answer Grading.

Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta

CoRR, 2019

Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System.

Shazia Afzal, Tejas I. Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura, Jessica Yarbro

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach.

Swarnadeep Saha, Malolan Chetlur, Tejas Indulal Dhamecha, K. Gayathri Wijayarathna, Red Mendoza, Paul Gagnon, Nabil Zary, Shantanu Godbole

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pre-Training BERT on Domain Resources for Short Answer Grading.

Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Outcomes and Their Relatedness in a Medical Curriculum.

Sneha Mondal, Tejas I. Dhamecha, Shantanu Godbole, Smriti Pathak, Red Mendoza, K. Gayathri Wijayarathna, Nabil Zary, Swarnadeep Saha, Malolan Chetlur

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Improving Short Answer Grading Using Transformer-Based Pre-training.

Chul Sung, Tejas Indulal Dhamecha, Nirmal Mukhi

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

CrowdFaceDB: Database and benchmarking for face verification in crowd.

Tejas I. Dhamecha, Mahek Shah, Priyanka Verma, Mayank Vatsa, Richa Singh

Pattern Recognit. Lett., 2018

Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading.

Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Preliminary Evaluations of a Dialogue-Based Digital Tutor.

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

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both.

Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Renuka Sindhgatta, Bikram Sengupta

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors.

Tejas I. Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Inferring Frequently Asked Questions from Student Question Answering Forums.

Renuka Sindhgatta, Smit Marvaniya, Tejas I. Dhamecha, Bikram Sengupta

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

On incremental semi-supervised discriminant analysis.

Tejas Indulal Dhamecha, Richa Singh, Mayank Vatsa

Pattern Recognit., 2016

Discriminative FaceTopics for face recognition via latent Dirichlet allocation.

Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Face anti-spoofing with multifeature videolet aggregation.

Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Understanding Thermal Face Detection: Challenges and Evaluation.

Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, Mayank Vatsa

Proceedings of the Face Recognition Across the Imaging Spectrum, 2016

2015

Annotated crowd video face database.

Tejas I. Dhamecha, Priyanka Verma, Mahek Shah, Richa Singh, Mayank Vatsa

Proceedings of the International Conference on Biometrics, 2015

Feature and keypoint selection for visible to near-infrared face matching.

Soumyadeep Ghosh, Tejas I. Dhamecha, Rohit Keshari, Richa Singh, Mayank Vatsa

Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015

2014

On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching.

Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Disguise detection and face recognition in visible and thermal spectrums.

Tejas I. Dhamecha, Aastha Nigam, Richa Singh, Mayank Vatsa

Proceedings of the International Conference on Biometrics, 2013

Computationally Efficient Face Spoofing Detection with Motion Magnification.

Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Incremental subclass discriminant analysis: A case study in face recognition.

Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

On matching latent to latent fingerprints.

Anush Sankaran, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

Is gender classification across ethnicity feasible using discriminant functions?

Tejas I. Dhamecha, Anush Sankaran, Richa Singh, Mayank Vatsa

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011