Sumegh Roychowdhury

Orcid: 0000-0002-4246-2620

According to our database1, Sumegh Roychowdhury authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques.
CoRR, 2024

Tackling Concept Shift in Text Classification using Entailment-style Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
How Robust are LLMs to In-Context Majority Label Bias?
CoRR, 2023

Tackling Concept Shift in Text Classification using Entailment-style Modeling.
CoRR, 2023

Data-Efficient Methods For Improving Hate Speech Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Multilingual Abusive Comment Detection at Scale for Indic Languages.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Representation Learning for Conversational Data using Discourse Mutual Information Maximization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms.
CoRR, 2021

Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Unsupervised Hierarchical Concept Learning.
CoRR, 2020

Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion.
CoRR, 2020

2019
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019


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