Stephen Mussmann

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Natural Language

Data Exploration

Top Venues

Publications

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) (2024)
Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR (2023)
Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building. Proc. VLDB Endow. 16 (13) (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. CoRR (2023)
Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building. CoRR (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. NeurIPS (2023)
Stephen Mussmann, Julia Reisler, Daniel Tsai, Ehsan Mousavi, Shayne O'Brien, Moisés Goldszmidt
Active Learning with Expected Error Reduction. CoRR (2022)
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR (2021)
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. AISTATS (2021)
Stephen Mussmann, Robin Jia, Percy Liang
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks. CoRR (2020)
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
Concept Bottleneck Models. CoRR (2020)
Ray Li, Percy Liang, Stephen Mussmann
A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. SODA (2020)
Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia
Selection via Proxy: Efficient Data Selection for Deep Learning. ICLR (2020)
Stephen Mussmann, Robin Jia, Percy Liang
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks. EMNLP (Findings) (2020)
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
Concept Bottleneck Models. ICML (2020)
Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia
Selection Via Proxy: Efficient Data Selection For Deep Learning. CoRR (2019)
Ray Li, Percy Liang, Stephen Mussmann
A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree. CoRR (2019)
Stephen Mussmann, Percy Liang
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss. NeurIPS (2018)
Stephen Mussmann, Percy Liang
Generalized Binary Search For Split-Neighborly Problems. CoRR (2018)
Stephen Mussmann, Percy Liang
On the Relationship between Data Efficiency and Error for Uncertainty Sampling. CoRR (2018)
Stephen Mussmann, Percy Liang
Generalized Binary Search For Split-Neighborly Problems. AISTATS (2018)
Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang
The price of debiasing automatic metrics in natural language evalaution. ACL (1) (2018)
Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang
The price of debiasing automatic metrics in natural language evaluation. CoRR (2018)
Stephen Mussmann, Percy Liang
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss. CoRR (2018)
Stephen Mussmann, Percy Liang
On the Relationship between Data Efficiency and Error for Uncertainty Sampling. ICML (2018)
Stephen Mussmann, Daniel Levy, Stefano Ermon
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search. UAI (2017)
Stephen Mussmann, Daniel Levy, Stefano Ermon
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search. CoRR (2017)
Stephen Mussmann, Stefano Ermon
Learning and Inference via Maximum Inner Product Search. ICML (2016)
Mahdi M. Kalayeh, Stephen Mussmann, Alla Petrakova, Niels da Vitoria Lobo, Mubarak Shah
Understanding Trajectory Behavior: A Motion Pattern Approach. CoRR (2015)
Stephen Mussmann, John Moore, Joseph John Pfeiffer III, Jennifer Neville
Incorporating Assortativity and Degree Dependence into Scalable Network Models. AAAI (2015)
Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville
Assortativity in Chung Lu Random Graph Models. SNAKDD (2014)