Subhradeep Kayal

According to our database, Subhradeep Kayal authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

How Far Is Too Far? Studying the Effects of Domain Discrepancy on Masked Language Models.

Subhradeep Kayal, Alexander Rakhlin, Ali Dashti, Serguei Stepaniants

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Source Identification: A Self-Supervision Task for Dense Prediction.

Shuai Chen, Subhradeep Kayal, Marleen de Bruijne

CoRR, 2023

2022

A Framework for Auditing Multilevel Models using Explainability Methods.

Debarati Bhaumik, Diptish Dey, Subhradeep Kayal

CoRR, 2022

Reading Comprehension Quiz Generation using Generative Pre-trained Transformers.

Ramon Dijkstra, Zülküf Genç, Subhradeep Kayal, Jaap Kamps

Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022), 2022

2021

Aspect-Based Sentiment Analysis of Social Media Data With Pre-Trained Language Models.

Anina Troya, Reshmi Gopalakrishna Pillai, Cristian Rodriguez Rivero, Zulkuf Genc, Subhradeep Kayal, Dogu Araci

Proceedings of the NLPIR 2021: 5th International Conference on Natural Language Processing and Information Retrieval, Sanya, China, December 17, 2021

Revisiting Edge Detection in Convolutional Neural Networks.

Minh Le, Subhradeep Kayal

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Sentence-embeddings by Manifold Approximation and Projection.

Subhradeep Kayal

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

2020

Region-of-Interest Guided Supervoxel Inpainting for Self-supervision.

Subhradeep Kayal, Shuai Chen, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images.

Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest.

Minh Le, Subhradeep Kayal, Andrew Douglas

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition.

Subhradeep Kayal, George Tsatsaronis

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Framework to Automatically Extract Funding Information from Text.

Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Marius A. Doornenbal, Sophia Katrenko, Michelle Gregory

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2017

Unsupervised image segmentation using the Deffuant-Weisbuch model from social dynamics.

Subhradeep Kayal

Signal Image Video Process., 2017

Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models.

Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Sophia Katrenko, Pascal Coupet, Marius A. Doornenbal, Michelle Gregory

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2014

Improved Hierarchical Clustering for Face Images in Videos: Integrating positional and temporal information with HAC.

Subhradeep Kayal

Proceedings of the International Conference on Multimedia Retrieval, 2014

2013

Face clustering in videos: GMM-based hierarchical clustering using Spatio-Temporal data.

Subhradeep Kayal

Proceedings of the 13th UK Workshop on Computational Intelligence, 2013