Publications (25)
Large Scale Transfer Learning for Tabular Data via Language Modeling
Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Anas Awadalla, Irena Gao, Josh Gardner +13
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Josh Gardner, Renzhe Yu, Quan Nguyen +2
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
Yonatan Bitton, Hritik Bansal, Jack Hessel +6
Multi-instrument Music Synthesis with Spectrogram Diffusion
Curtis Hawthorne, Ian Simon, Adam Roberts +4
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining
Josh Gardner, Yuming Yang, Ryan Baker +1
OLMoASR: Open Models and Data for Training Robust Speech Recognition Models
Huong Ngo, Matt Deitke, Martijn Bartelds +4
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Yusong Wu, Josh Gardner, Ethan Manilow +3
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Josh Gardner, Zoran PopoviÄ, Ludwig Schmidt
LLark: A Multimodal Instruction-Following Language Model for Music
Josh Gardner, Simon Durand, Daniel Stoller +1
Dropout Model Evaluation in MOOCs
Josh Gardner, Christopher Brooks
Language Models Improve When Pretraining Data Matches Target Tasks
David Mizrahi, Anders Boesen Lindbo Larsen, Jesse Allardice +7
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments
Timothy NeCamp, Josh Gardner, Christopher Brooks
Apple Intelligence Foundation Language Models: Tech Report 2025
Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395
Evaluating Predictive Models of Student Success: Closing the Methodological Gap
Josh Gardner, Christopher Brooks
MT3: Multi-Task Multitrack Music Transcription
Josh Gardner, Ian Simon, Ethan Manilow +2
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
Josh Gardner, Christopher Brooks, Juan Miguel L. Andres +1
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
Jeffrey Li, Josh Gardner, Doug Kang +10
Student Success Prediction in MOOCs
Josh Gardner, Christopher Brooks
Data-Centric Lessons To Improve Speech-Language Pretraining
Vishaal Udandarao, Zhiyun Lu, Xuankai Chang +6
Benchmarking Distribution Shift in Tabular Data with TableShift
Josh Gardner, Zoran Popovic, Ludwig Schmidt
DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li, Alex Fang, Georgios Smyrnis +56
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data
Josh Gardner, Jawad Mroueh, Natalia Jenuwine +4
Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit
Josh Gardner, Danai Koutra, Jawad Mroueh +4