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08/12/2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
We introduce VisIT-Bench (Visual InsTruction Benchmark), a benchmark for...
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08/02/2023
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
We introduce OpenFlamingo, a family of autoregressive vision-language mo...
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05/01/2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Modern machine learning increasingly supports paradigms that are multi-i...
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11/23/2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Researchers have proposed many methods for fair and robust machine learn...
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09/28/2022
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Data is the lifeblood of modern machine learning systems, including for ...
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06/11/2022
Multi-instrument Music Synthesis with Spectrogram Diffusion
An ideal music synthesizer should be both interactive and expressive, ge...
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11/04/2021
MT3: Multi-Task Multitrack Music Transcription
Automatic Music Transcription (AMT), inferring musical notes from raw au...
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02/23/2020
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data
The City of Detroit maintains an active fleet of over 2500 vehicles, spe...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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10/26/2018
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments
Randomized experiments ensure robust causal inference that are critical ...
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06/13/2018
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining
The use of machine learning techniques has expanded in education researc...
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02/16/2018
Dropout Model Evaluation in MOOCs
The field of learning analytics needs to adopt a more rigorous approach ...
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01/19/2018
Evaluating Predictive Models of Student Success: Closing the Methodological Gap
Model evaluation -- the process of making inferences about the performan...
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01/16/2018
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale
The MOOC Replication Framework (MORF) is a novel software system for fea...
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11/16/2017
Student Success Prediction in MOOCs
Predictive models of student success in Massive Open Online Courses (MOO...
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10/18/2017