ICLR

A Note on Code Quality Score: LLMs for Maintainable Large Codebases

Sherman Wong, Jalaj Bhandari, Leo Zhou Fan Yang, Xylan Xu, Yi Zhuang, Cem Cayiroglu, Payal Bhuptani, Sheela Yadawad, Hung Duong

Comments 24 pages, ICLR format

Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation

Sheng-Feng Yu, Jia-Jiun Yao, Wei-Chen Chiu

机构 * National Yang Ming Chiao Tung University（国家阳明交通大学） ； Macronix International Co., Ltd.（宏碁国际公司） 纠错

Comments To appear in the Proceedings of the International Conference on Learning Representations (ICLR 2025)

Long-tailed Adversarial Training with Self-Distillation

Seungju Cho, Hongsin Lee, Changick Kim

机构 * Korea Advanced Institute of Science and Technology (KAIST)（韩国科学技术院） 纠错

Comments ICLR 2025. See OpenReview and code (in Supplementary Material) at https://openreview.net/forum?id=vM94dZiqx4