If Influence Functions are the Answer, Then What is the Question?

If Influence Functions are the Answer, Then What is the Question?

12 September 2022

Marzyeh Ghassemi

Roger C. Grosse

Papers citing "If Influence Functions are the Answer, Then What is the Question?"

17 / 17 papers shown

Title
MAGIC: Near-Optimal Data Attribution for Deep Learning Andrew Ilyas Logan Engstrom TDI 39 0 0 23 Apr 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 142 2 0 10 Jan 2025
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li Zichun Yu Chenyan Xiong SyDa 33 1 0 18 Oct 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
$$\texttt{dattri}$: A Library for Efficient Data Attribution$ $\texttt{dattri}$ : A Library for Efficient Data Attribution Junwei Deng Ting-Wei Li Shiyuan Zhang Shixuan Liu Yijun Pan Hao Huang Xinhe Wang Pingbang Hu Xingjian Zhang Jiaqi W. Ma TDI 36 3 0 06 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 45 1 0 04 Oct 2024
Data Debugging is NP-hard for Classifiers Trained with SGD Zizheng Guo Pengyu Chen Yanzhang Fu Xuelong Li 28 0 0 02 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 51 41 0 01 Aug 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 41 3 0 22 Apr 2024
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC Wu Lin Felix Dangel Runa Eschenhagen Kirill Neklyudov Agustinus Kristiadi Richard E. Turner Alireza Makhzani 22 3 0 09 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 18 5 0 09 Dec 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 26 11 0 05 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting Wangkun Xu Fei Teng MU AI4TS 30 3 0 28 Aug 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 19 22 0 30 Apr 2022
Amortized Proximal Optimization Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 25 14 0 28 Feb 2022