Gregory Plumb

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 22

Top Topics

Machine Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Ameet Talwalkar
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models. Trans. Mach. Learn. Res. 2023 (2023)
Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms. CoRR (2023)
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar
Use-Case-Grounded Simulations for Explanation Evaluation. CoRR (2022)
Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar
Finding and Fixing Spurious Patterns with Explanations. Trans. Mach. Learn. Res. 2022 (2022)
Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar
Evaluating Systemic Error Detection Methods using Synthetic Images. CoRR (2022)
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Interpretable machine learning: moving from mythos to diagnostics. Commun. ACM 65 (8) (2022)
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Sanity Simulations for Saliency Methods. ICML (2022)
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar
Use-Case-Grounded Simulations for Explanation Evaluation. NeurIPS (2022)
Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar
A Learning Theoretic Perspective on Local Explainability. ICLR (2021)
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Interpretable Machine Learning: Moving from mythos to diagnostics. ACM Queue 19 (6) (2021)
Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar
Finding and Fixing Spurious Patterns with Explanations. CoRR (2021)
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Sanity Simulations for Saliency Methods. CoRR (2021)
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Towards Connecting Use Cases and Methods in Interpretable Machine Learning. CoRR (2021)
Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability. NeurIPS (2020)
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
Explaining Groups of Points in Low-Dimensional Representations. CoRR (2020)
Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar
A Learning Theoretic Perspective on Local Explainability. CoRR (2020)
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
Explaining Groups of Points in Low-Dimensional Representations. ICML (2020)
Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). CoRR (2019)
Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability. CoRR (2019)
Gregory Plumb, Denali Molitor, Ameet Talwalkar
Supervised Local Modeling for Interpretability. CoRR (2018)
Gregory Plumb, Denali Molitor, Ameet S. Talwalkar
Model Agnostic Supervised Local Explanations. NeurIPS (2018)
Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh
Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. MICCAI (3) (2017)
Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh
SnFFT: a Julia toolkit for Fourier analysis of functions over permutations. J. Mach. Learn. Res. 16 (2015)