Vinitra Swamy

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Multitask Learning

Feature Selection

Top Venues

AIED Companion (1)

Publications

Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. AIED Companion (1) (2024)
Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. CoRR (2024)
Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. CoRR (2024)
Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. CoRR (2024)
Vinitra Swamy, Jibril Frej, Tanja Käser
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. CoRR (2023)
Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. EMNLP (Findings) (2023)
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. NeurIPS (2023)
Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. CoRR (2023)
Zeming Chen, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR (2023)
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK (2023)
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR (2023)
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. AAAI (2023)
Vinitra Swamy, Mirko Marras, Tanja Käser
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. EDM (2022)
Vinitra Swamy, Mirko Marras, Tanja Käser
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. CoRR (2022)
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. CoRR (2022)
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR (2022)
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. CoRR (2022)
Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
FATED 2022: Fairness, Accountability, and Transparency in Educational Data. EDM (2022)
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. COLING (2022)
Vinitra Swamy, Angelika Romanou, Martin Jaggi
Interpreting Language Models Through Knowledge Graph Extraction. CoRR (2021)
Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler
Deep Knowledge Tracing for Free-Form Student Code Progression. AIED (2) (2018)