Towards a statistical theory of data selection under weak supervision

25 September 2023

Papers citing "Towards a statistical theory of data selection under weak supervision"

8 / 8 papers shown

Title
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 142 2 0 10 Jan 2025
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws M. E. Ildiz Halil Alperen Gozeten Ege Onur Taga Marco Mondelli Samet Oymak 56 2 0 24 Oct 2024
Balancing Label Quantity and Quality for Scalable Elicitation Alex Troy Mallen Nora Belrose 34 1 0 17 Oct 2024
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective Zhen Qin Daoyuan Chen Wenhao Zhang Liuyi Yao Yilun Huang Bolin Ding Yaliang Li Shuiguang Deng 57 5 0 11 Jul 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong Hoang Phan Xiang Pan Qi Lei 48 5 0 08 Jul 2024
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement Yunzhen Feng Elvis Dohmatob Pu Yang Francois Charton Julia Kempe 53 17 0 11 Jun 2024
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization Yihang Chen Fanghui Liu Taiji Suzuki V. Cevher 40 1 0 05 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 31 6 0 28 May 2024