DMLR Submissions

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak
- Published: 02 Mar 2024, Last Modified: 02 Mar 2024
- Accepted by DMLR
- Readers: Everyone
Detecting Errors in a Numerical Response via any Regression Model
Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei
- Published: 21 Mar 2024, Last Modified: 21 Mar 2024
- Accepted by DMLR
- Readers: Everyone
DMLR: Data-centric Machine Learning Research - Past, Present and Future
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt et al. (18 additional authors not shown)
- Published: 29 Apr 2024, Last Modified: 29 Apr 2024
- Accepted by DMLR
- Readers: Everyone
The Nine Lives of ImageNet: A Sociotechnical Retrospective of a Foundation Dataset and the Limits of Automated Essentialism
Sasha Luccioni, Kate Crawford
- Published: 29 Feb 2024, Last Modified: 29 Feb 2024
- Accepted by DMLR
- Readers: Everyone
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi, Yoshitaka Ushiku
- Published: 04 Mar 2024, Last Modified: 21 Mar 2024
- Accepted by DMLR
- Readers: Everyone
Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift
Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
- Published: 19 Jan 2024, Last Modified: 19 Jan 2024
- Accepted by DMLR
- Readers: Everyone