Training Data Attribution via Approximate Unrolled Differentiation

Training Data Attribution via Approximate Unrolled Differentiation

20 May 2024

Jonathan Lorraine

Roger C. Grosse

Papers citing "Training Data Attribution via Approximate Unrolled Differentiation"

9 / 9 papers shown

Title
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 136 2 0 10 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 88 11 0 31 Dec 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 37 6 0 23 Aug 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 80 185 0 06 Feb 2024
A Simple and Efficient Baseline for Data Attribution on Images Vasu Singla Pedro Sandoval-Segura Micah Goldblum Jonas Geiping Tom Goldstein FAtt 21 3 0 03 Nov 2023
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs Kelvin Guu Albert Webson Ellie Pavlick Lucas Dixon Ian Tenney Tolga Bolukbasi TDI 66 33 0 14 Mar 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 50 94 0 30 May 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018