| 2022 | ICLR | MT3: Multi-Task Multitrack Music Transcription. | Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel |
| 2020 | DSAA | Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns. | Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra |
| 2019 | EDM | Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. | Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks |
| 2019 | LAK | Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. | Josh Gardner, Christopher Brooks, Ryan Baker |
| 2019 | LAK | Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. | Timothy NeCamp, Josh Gardner, Christopher Brooks |
| 2018 | AAAI | Dropout Model Evaluation in MOOCs. | Josh Gardner, Christopher Brooks |
| 2018 | LAK | Coenrollment networks and their relationship to grades in undergraduate education. | Josh Gardner, Christopher Brooks |
| 2017 | EDM | Toward Replicable Predictive Model Evaluation in MOOCs. | Josh Gardner, Christopher Brooks |
| 2017 | LAK | Statistical Approaches to the Model Comparison Task in Learning Analytics. | Josh Gardner, Christopher Brooks |
| 2017 | LAK | Integrating syllabus data into student success models. | Josh Gardner, Ogechi Onuoha, Christopher Brooks |
| 2007 | OOPSLA | Green: a flexible UML class diagramming tool for eclipse. | Gene Wang, Brian McSkimming, Zachary Marzec, Josh Gardner, Adrienne Decker, Carl Alphonce |