Vinitra Swamy

Orcid: 0000-0002-6840-5923

According to our database1, Vinitra Swamy authored at least 16 papers between 2018 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning.
CoRR, 2024

InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks.
CoRR, 2024

AI or Human? Evaluating Student Feedback Perceptions in Higher Education.
Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.
CoRR, 2023

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.
CoRR, 2023

MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Meta Transfer Learning for Early Success Prediction in MOOCs.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

FATED 2022: Fairness, Accountability, and Transparency in Educational Data.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Interpreting Language Models Through Knowledge Graph Extraction.
CoRR, 2021

2018
Deep Knowledge Tracing for Free-Form Student Code Progression.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018


  Loading...