Student success prediction in MOOCs
Gardner, Josh, Brooks, Christopher
Published in User modeling and user-adapted interaction (01.06.2018)
Published in User modeling and user-adapted interaction (01.06.2018)
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Journal Article
Evaluating Predictive Models of Student Success: Closing the Methodological Gap
Gardner, Joshua Patrick, Brooks, Christopher
Published in Journal of Learning Analytics (01.01.2018)
Published in Journal of Learning Analytics (01.01.2018)
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Journal Article
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
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Paper
Journal Article
LLark: A Multimodal Instruction-Following Language Model for Music
Gardner, Josh, Durand, Simon, Stoller, Daniel, Bittner, Rachel M
Published in arXiv.org (03.06.2024)
Published in arXiv.org (03.06.2024)
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Paper
Journal Article
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Gardner, Josh, Yu, Renzhe, Nguyen, Quan, Brooks, Christopher, Kizilcec, Rene
Published in arXiv.org (01.05.2023)
Published in arXiv.org (01.05.2023)
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Paper
Journal Article
Evaluating Predictive Models of Student Success: Closing the Methodological Gap
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Paper
Journal Article
MT3: Multi-Task Multitrack Music Transcription
Gardner, Josh, Simon, Ian, Manilow, Ethan, Hawthorne, Curtis, Engel, Jesse
Published in arXiv.org (15.03.2022)
Published in arXiv.org (15.03.2022)
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Paper
Journal Article
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
Bitton, Yonatan, Bansal, Hritik, Hessel, Jack, Shao, Rulin, Zhu, Wanrong, Awadalla, Anas, Gardner, Josh, Taori, Rohan, Schmidt, Ludwig
Published in arXiv.org (26.12.2023)
Published in arXiv.org (26.12.2023)
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Paper
Journal Article
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Wu, Yusong, Gardner, Josh, Manilow, Ethan, Simon, Ian, Hawthorne, Curtis, Engel, Jesse
Published in arXiv.org (28.09.2022)
Published in arXiv.org (28.09.2022)
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Paper
Journal Article
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Gardner, Josh, Mroueh, Jawad, Jenuwine, Natalia, Waverdyck, Noah, Krassenstein, Samuel, Farahi, Arya, Koutra, Danai
Published in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA) (01.10.2020)
Published in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA) (01.10.2020)
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Conference Proceeding
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Awadalla, Anas, Gao, Irena, Gardner, Josh, Hessel, Jack, Hanafy, Yusuf, Zhu, Wanrong, Marathe, Kalyani, Bitton, Yonatan, Gadre, Samir, Sagawa, Shiori, Jitsev, Jenia, Kornblith, Simon, Pang Wei Koh, Ilharco, Gabriel, Wortsman, Mitchell, Schmidt, Ludwig
Published in arXiv.org (07.08.2023)
Published in arXiv.org (07.08.2023)
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Paper
Journal Article
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data
Gardner, Josh, Mroueh, Jawad, Jenuwine, Natalia, Weaverdyck, Noah, Krassenstein, Samuel, Arya Farahi, Koutra, Danai
Published in arXiv.org (21.09.2020)
Published in arXiv.org (21.09.2020)
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Paper
Journal Article
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
Gardner, Josh, Brooks, Christopher, Andres, Juan Miguel L, Baker, Ryan
Published in arXiv.org (21.08.2018)
Published in arXiv.org (21.08.2018)
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Journal Article