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2408.01365
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Data Debugging is NP-hard for Classifiers Trained with SGD
2 August 2024
Zizheng Guo
Pengyu Chen
Yanzhang Fu
Xuelong Li
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Papers citing
"Data Debugging is NP-hard for Classifiers Trained with SGD"
5 / 5 papers shown
Title
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae
Nathan Ng
Alston Lo
Marzyeh Ghassemi
Roger C. Grosse
TDI
95
104
0
12 Sep 2022
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan
Jiongli Zhu
Boris Glavic
Babak Salimi
71
57
0
17 Dec 2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Ernie Chang
Hui-Syuan Yeh
Vera Demberg
70
40
0
06 Feb 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo
Nazneen Rajani
Peter Hase
Joey Tianyi Zhou
Caiming Xiong
TDI
118
116
0
31 Dec 2020
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
219
2,910
0
14 Mar 2017
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