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 (SoCC, 2019)

Deep Mixture of Experts via Shallow Embedding. - Xin Wang 066; Fisher Yu 001; Lisa Dunlap; Yi-An Ma; Ruth Wang; Azalia Mirhoseini; Trevor Darrell; Joseph E. Gonzalez (UAI, 2019)

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)

Elastic Hyperparameter Tuning on the Cloud. - Lisa Dunlap; Kirthevasan Kandasamy; Ujval Misra; Richard Liaw; Michael I. Jordan; Ion Stoica; Joseph E. Gonzalez (SoCC, 2021)

RubberBand: cloud-based hyperparameter tuning. - Ujval Misra; Richard Liaw; Lisa Dunlap; Romil Bhardwaj; Kirthevasan Kandasamy; Joseph E. Gonzalez; Ion Stoica; Alexey Tumanov (EuroSys, 2021)

NBDT: Neural-Backed Decision Tree. - Alvin Wan; Lisa Dunlap; Daniel Ho; Jihan Yin; Scott Lee; Suzanne Petryk; Sarah Adel Bargal; Joseph E. Gonzalez (ICLR, 2021)

On Guiding Visual Attention with Language Specification. - Suzanne Petryk; Lisa Dunlap; Keyan Nasseri; Joseph Gonzalez 001; Trevor Darrell; Anna Rohrbach (CVPR, 2022)

Using Language to Extend to Unseen Domains. - Lisa Dunlap; Clara Mohri; Devin Guillory; Han Zhang; Trevor Darrell; Joseph E. Gonzalez; Aditi Raghunathan; Anna Rohrbach (ICLR, 2023)

Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation. - Lisa Dunlap; Alyssa Umino; Han Zhang; Jiezhi Yang; Joseph E. Gonzalez; Trevor Darrell (NeurIPS, 2023)

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. - Grace Luo; Lisa Dunlap; Dong Huk Park; Aleksander Holynski; Trevor Darrell (NeurIPS, 2023)

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 (CVPR, 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 007; Joseph E. Gonzalez; Trevor Darrell (CVPR, 2024)

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. - Tianle Li; Wei-Lin Chiang; Evan Frick; Lisa Dunlap; Tianhao Wu 002; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica (CoRR, 2024)

VisionArena: 230k Real World User-VLM Conversations with Preference Labels. - Christopher Chou; Lisa Dunlap; Koki Mashita; Krishna Mandal; Trevor Darrell; Ion Stoica; Joseph E. Gonzalez; Wei-Lin Chiang (CVPR, 2025)

Video Action Differencing. - James Burgess; Xiaohan Wang; Yuhui Zhang; Anita Rau; Alejandro Lozano; Lisa Dunlap; Trevor Darrell; Serena Yeung-Levy (ICLR, 2025)

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models. - Lisa Dunlap; Krishna Mandal; Trevor Darrell; Jacob Steinhardt; Joseph E. Gonzalez (ICLR, 2025)