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Vinitra Swamy
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2020 – today
- 2024
- [c13]Isadora Salles
, Paola Mejia-Domenzain
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. AIED Companion (1) 2024: 382-390 - [c12]Tanya Nazaretsky
AI or Human? Evaluating Student Feedback Perceptions in Higher Education. EC-TEL (1) 2024: 284-298 - [c11]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. EDM 2024 - [c10]Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz:
Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM 2024 - [i14]Vinitra Swamy
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. CoRR abs/2402.02933 (2024) - [i13]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 abs/2405.20079 (2024) - [i12]Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser:
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. CoRR abs/2407.11979 (2024) - [i11]Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser:
From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback. CoRR abs/2409.08027 (2024) - 2023
- [c9]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: 15903-15911 - [c8]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: 10275-10288 - [c7]Vinitra Swamy
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK 2023: 345-356 - [c6]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 - [i10]Vinitra Swamy, Jibril Frej, Tanja Käser:
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. CoRR abs/2307.00364 (2023) - [i9]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR abs/2309.14118 (2023) - [i8]Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. CoRR abs/2311.03311 (2023) - [i7]Zeming Chen
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR abs/2311.16079 (2023) - 2022
- [c5]Thiemo Wambsganss
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. COLING 2022: 1344-1356 - [c4]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 - [c3]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 - [c2]Vinitra Swamy
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S 2022: 121-132 - [i6]Vinitra Swamy
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR abs/2205.01064 (2022) - [i5]Vinitra Swamy
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. CoRR abs/2207.00551 (2022) - [i4]Thiemo Wambsganss
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. CoRR abs/2209.10335 (2022) - [i3]Mohammad Asadi, Vinitra Swamy
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. CoRR abs/2212.01133 (2022) - [i2]Vinitra Swamy
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR abs/2212.08955 (2022) - 2021
- [i1]Vinitra Swamy, Angelika Romanou, Martin Jaggi:
Interpreting Language Models Through Knowledge Graph Extraction. CoRR abs/2111.08546 (2021)
2010 – 2019
- 2018
- [c1]Vinitra Swamy
Deep Knowledge Tracing for Free-Form Student Code Progression. AIED (2) 2018: 348-352
Coauthor Index
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