Stephen Mussmann

Stephen Mussmann

Stanford University

H-index: 12

North America-United States

About Stephen Mussmann

Stephen Mussmann, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Active Learning, Data Pruning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning

Datacomp: In search of the next generation of multimodal datasets

An experimental design framework for label-efficient supervised finetuning of large language models

Vocalexplore: Pay-as-you-go video data exploration and model building

Active learning with expected error reduction

Data Subset Selection via Machine Teaching

Constants matter: The performance gains of active learning

Comparing the value of labeled and unlabeled data in method-of-moments latent variable estimation

Stephen Mussmann Information

University

Position

Computer Science PhD Student

Citations(all)

1110

Citations(since 2020)

1068

Cited By

180

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Stephen Mussmann Skills & Research Interests

Machine Learning

Active Learning

Data Pruning

Top articles of Stephen Mussmann

Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning

2023/12/22

An experimental design framework for label-efficient supervised finetuning of large language models

arXiv preprint arXiv:2401.06692

2024/1/12

Vocalexplore: Pay-as-you-go video data exploration and model building

Proceedings of the VLDB Endowment

2023/9/1

Active learning with expected error reduction

arXiv preprint arXiv:2211.09283

2022/11/17

Stephen Mussmann
Stephen Mussmann

H-Index: 7

Data Subset Selection via Machine Teaching

2022/9/29

Constants matter: The performance gains of active learning

2022/6/28

Comparing the value of labeled and unlabeled data in method-of-moments latent variable estimation

2021/3/18

Understanding and analyzing the effectiveness of uncertainty sampling

2021

Stephen Mussmann
Stephen Mussmann

H-Index: 7

Concept bottleneck models

International Conference on Machine Learning, 5338-5348

2020/7/9

On the importance of adaptive data collection for extremely imbalanced pairwise tasks

arXiv preprint arXiv:2010.05103

2020/10/10

A tight analysis of greedy yields subexponential time approximation for uniform decision tree

2020

Ray Li
Ray Li

H-Index: 7

Percy Liang
Percy Liang

H-Index: 55

Stephen Mussmann
Stephen Mussmann

H-Index: 7

See List of Professors in Stephen Mussmann University(Stanford University)

Co-Authors

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