Josh Gardner
Cited by
Cited by
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and trends® in machine learning 14 (1–2), 1-210, 2021
Openflamingo: An open-source framework for training large autoregressive vision-language models
A Awadalla, I Gao, J Gardner, J Hessel, Y Hanafy, W Zhu, K Marathe, ...
arXiv preprint arXiv:2308.01390, 2023
Student Success Prediction in MOOCs
J Gardner, C Brooks
User Modeling and User-Adapted Interaction 28 (2), 127-203, 2018
Evaluating the fairness of predictive student models through slicing analysis
J Gardner, C Brooks, R Baker
Proceedings of the 9th international conference on learning analytics …, 2019
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021
Mlperf inference benchmark. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
IEEE, 2020
MT3: Multi-task multitrack music transcription
J Gardner, I Simon, E Manilow, C Hawthorne, J Engel
arXiv preprint arXiv:2111.03017, 2021
Multi-instrument music synthesis with spectrogram diffusion
C Hawthorne, I Simon, A Roberts, N Zeghidour, J Gardner, E Manilow, ...
arXiv preprint arXiv:2206.05408, 2022
Replicating MOOC predictive models at scale
J Gardner, C Brooks, JM Andres, R Baker
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-10, 2018
Visit-bench: A benchmark for vision-language instruction following inspired by real-world use
Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ...
arXiv preprint arXiv:2308.06595, 2023
MORF: A framework for predictive modeling and replication at scale with privacy-restricted MOOC data
J Gardner, C Brooks, JM Andres, RS Baker
2018 IEEE International Conference on Big Data (Big Data), 3235-3244, 2018
Dropout model evaluation in MOOCs
J Gardner, C Brooks
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.
J Gardner, Y Yang, RS Baker, C Brooks
International Educational Data Mining Society, 2019
Evaluating predictive models of student success: Closing the methodological gap
J Gardner, C Brooks
Journal of Learning Analytics 5 (2), 105-125, 2018
How gender cues in educational video impact participation and retention
C Brooks, J Gardner, K Chen
International Society of the Learning Sciences, Inc.[ISLS]., 2018
Coenrollment networks and their relationship to grades in undergraduate education
J Gardner, C Brooks
Proceedings of the 8th international conference on learning analytics and …, 2018
Llark: A multimodal foundation model for music
J Gardner, S Durand, D Stoller, RM Bittner
arXiv preprint arXiv:2310.07160, 2023
Enabling end-to-end machine learning replicability: A case study in educational data mining
J Gardner, Y Yang, R Baker, C Brooks
arXiv preprint arXiv:1806.05208, 2018
Subgroup robustness grows on trees: An empirical baseline investigation
J Gardner, Z Popovic, L Schmidt
Advances in Neural Information Processing Systems 35, 9939-9954, 2022
Benchmarking distribution shift in tabular data with tableshift
J Gardner, Z Popovic, L Schmidt
Advances in Neural Information Processing Systems 36, 2024
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