Stephen Mussmann
Publications by Year
Research Areas
Machine Learning and Algorithms, Machine Learning and Data Classification, Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications
Most-Cited Works
- → Concept Bottleneck Models(2020)150 cited
- → The price of debiasing automatic metrics in natural language evalaution(2018)100 cited
- → Selection via Proxy: Efficient Data Selection for Deep Learning(2019)76 cited
- → DataComp: In search of the next generation of multimodal datasets(2023)73 cited
- Learning and inference via maximum inner product search(2016)
- → On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks(2020)12 cited
- → Incorporating Assortativity and Degree Dependence into Scalable Network Models(2015)10 cited
- → Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss(2018)9 cited