| NBDT: Neural-backed decision trees A Wan, L Dunlap, D Ho, J Yin, S Lee, H Jin, S Petryk, SA Bargal, ... arXiv preprint arXiv:2004.00221, 2020 | 211 | 2020 |
| From crowdsourced data to high-quality benchmarks: Arena-hard and benchbuilder pipeline T Li, WL Chiang, E Frick, L Dunlap, T Wu, B Zhu, JE Gonzalez, I Stoica arXiv preprint arXiv:2406.11939, 2024 | 133* | 2024 |
| Deep mixture of experts via shallow embedding X Wang, F Yu, L Dunlap, YA Ma, R Wang, A Mirhoseini, T Darrell, ... Uncertainty in artificial intelligence, 552-562, 2020 | 125 | 2020 |
| Diffusion hyperfeatures: Searching through time and space for semantic correspondence G Luo, L Dunlap, DH Park, A Holynski, T Darrell Advances in Neural Information Processing Systems 36, 47500-47510, 2023 | 108 | 2023 |
| Hypersched: Dynamic resource reallocation for model development on a deadline R Liaw, R Bhardwaj, L Dunlap, Y Zou, JE Gonzalez, I Stoica, A Tumanov Proceedings of the ACM Symposium on Cloud Computing, 61-73, 2019 | 63 | 2019 |
| Diversify your vision datasets with automatic diffusion-based augmentation L Dunlap, A Umino, H Zhang, J Yang, JE Gonzalez, T Darrell Advances in neural information processing systems 36, 79024-79034, 2023 | 57 | 2023 |
| Using Language to Extend to Unseen Domains. L Dunlap, C Mohri, D Guillory, H Zhang, T Darrell, JE Gonzalez, ... International Conference on Learning Representations (ICLR), 2023 | 38 | 2023 |
| Rubberband: cloud-based hyperparameter tuning U Misra, R Liaw, L Dunlap, R Bhardwaj, K Kandasamy, JE Gonzalez, ... Proceedings of the Sixteenth European Conference on Computer Systems, 327-342, 2021 | 32 | 2021 |
| On guiding visual attention with language specification S Petryk, L Dunlap, K Nasseri, J Gonzalez, T Darrell, A Rohrbach Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Describing differences in image sets with natural language L Dunlap, Y Zhang, X Wang, R Zhong, T Darrell, J Steinhardt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| See say and segment: Teaching lmms to overcome false premises TH Wu, G Biamby, D Chan, L Dunlap, R Gupta, X Wang, JE Gonzalez, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 18 | 2024 |
| NBDT: Neural-backed decision trees. arXiv 2020 A Wan, L Dunlap, D Ho, J Yin, S Lee, H Jin, S Petryk, SA Bargal, ... arXiv preprint arXiv:2004.00221, 2004 | 15 | 2004 |
| Elastic hyperparameter tuning on the cloud L Dunlap, K Kandasamy, U Misra, R Liaw, M Jordan, I Stoica, ... Proceedings of the ACM Symposium on Cloud Computing, 33-46, 2021 | 8 | 2021 |
| Habitat-dependent search behavior in the Colorado Checkered Whiptail (Aspidoscelis neotesselata) K Utsumi, C Kusaka, R Pedersen, C Staley, L Dunlap, SG Smith, MA Eifler, ... Western North American Naturalist 80 (1), 11-18, 2020 | 8 | 2020 |
| Lmsys-chatbot arena human preference predictions, 2024a W Chiang, L Zheng, L Dunlap, JE Gonzalez, I Stoica, P Mooney, S Dane, ... URL https://kaggle. com/competitions/lmsys-chatbot-arena, 2024 | 5* | 2024 |
| VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models L Dunlap, K Mandal, T Darrell, J Steinhardt, JE Gonzalez arXiv preprint arXiv:2410.12851, 2024 | 2 | 2024 |
| VisionArena: 230K Real World User-VLM Conversations with Preference Labels C Chou, L Dunlap, K Mashita, K Mandal, T Darrell, I Stoica, JE Gonzalez, ... arXiv preprint arXiv:2412.08687, 2024 | 1 | 2024 |
| Improve Model Inference Cost with Image Gridding S Krishnaswamy, L Dunlap, L Chen, M Zaharia, J Zou, JE Gonzalez | | 2023 |
| Interpretable Few-Shot Image Classification with Neural-Backed Decision Trees S Lee, J Gonzalez, M Wright | | 2020 |
| Bench-O-Matic: Automating Benchmark Curation from Crowdsourced Data T Li, WL Chiang, E Frick, L Dunlap, T Wu, B Zhu, JE Gonzalez, I Stoica | | |
