Personalized machine learning for facial expression analysis
Feffer, Michael Anthony. Personalized machine learning for facial expression analysis. MEng Thesis. Massachusetts Institute of Technology, 2018.
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
A Mixture of Personalized Experts for Human Affect Estimation
Feffer M., Rudovic O., Picard R.W. (2018) A Mixture of Personalized Experts for Human Affect Estimation. In: Perner P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2018. Lecture Notes in Computer Science, vol 10935. Springer, Cham.
Assistive Alignment of In-The-Wild Sheet Music and Performances
Feffer, M., Lipton, Z. C., & Donahue, C. (2022). Assistive alignment of in-the-wild sheet music and performances. ISMIR (2022)
Moral Machine or Tyranny of the Majority?
Feffer, M., Heidari, H., & Lipton, Z. C. (2023). Moral Machine or Tyranny of the Majority? AAAI (2023)
A Suite of Fairness Datasets for Tabular Classification
Hirzel, M. & Feffer, M. (2023). A Suite of Fairness Datasets for Tabular Classification. arXiv arXiv:2308.00133
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research
Feffer, M., Skirpan, M., Lipton, Z. C., & Heidari, H. (2023). From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. AIES (2023)
Searching for Fairer Machine Learning Ensembles
Feffer, M., Hirzel, M., Hoffman, S. C., Kate, K., Ram, P., & Shinnar, A. (2023). Searching for Fairer Machine Learning Ensembles. AutoML (2023)
The AI Incident Database as an Educational Tool to Raise Awareness of Harms: A Classroom Exploration of Efficacy, Limitations, & Future Design Improvements
Feffer, M., Martelaro, N., & Heidari, H. (2023). The AI Incident Database as an Educational Tool to Raise Awareness of Harms: A Classroom Exploration of Efficacy, Limitations, & Future Design Improvements. EAAMO (2023)
DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms
Feffer, M., Lipton, Z. C., & Donahue, C. (2023). DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms. HCMIR@ISMIR (2023)
Prompt Exploration with Prompt Regression
Feffer M., Xu R., Sun Y., Yurochkin M. (2024) Prompt Exploration with Prompt Regression. Conference on Language Modeling (COLM), 2024
Red-Teaming for Generative AI: Silver Bullet or Security Theater? Best Paper Award
Feffer M., Sinha A., Deng W.H., Lipton Z.C., Heidari H. (2024) Red-Teaming for Generative AI: Silver Bullet or Security Theater? AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2024
Just Label the Repeats for In-The-Wild Audio-to-Score Alignment
Bukey I., Feffer M., Donahue C. (2024) Just Label the Repeats for In-The-Wild Audio-to-Score Alignment. International Society for Music Information Retrieval Conference (ISMIR), 2024
Talks
A Mixture of Personalized Experts for Human Affect Estimation
Talk at International Conference in Machine Learning and Data Mining (MLDM), Newark, New Jersey
An Empirical Study of Modular Bias Mitigators and Ensembles
Talk at Workshop on Benchmarking Data for Data-Centric AI (DataPerf@ICML), Baltimore, MD
Teaching
Service and leadership
- Currently signed in to 43 different slack teams