Lisa Dunlap

According to our database, Lisa Dunlap authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

CoRR, 2024

See, Say, and Segment: Teaching LMMs to Overcome False Premises.

Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Describing Differences in Image Sets with Natural Language.

Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence.

Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation.

Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Using Language to Extend to Unseen Domains.

Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On Guiding Visual Attention with Language Specification.

Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

NBDT: Neural-Backed Decision Tree.

Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Proceedings of the 9th International Conference on Learning Representations, 2021

RubberBand: cloud-based hyperparameter tuning.

Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

Elastic Hyperparameter Tuning on the Cloud.

Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020

NBDT: Neural-Backed Decision Trees.

Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

CoRR, 2020

2019

Deep Mixture of Experts via Shallow Embedding.

Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline.

Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019