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Measuring the Effect of Training Data on Deep Learning Predictions via
  Randomized Experiments

Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments

20 June 2022
Jinkun Lin
Anqi Zhang
Mathias Lécuyer
Jinyang Li
Aurojit Panda
S. Sen
    TDI
    FedML
ArXivPDFHTML

Papers citing "Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments"

12 / 12 papers shown
Title
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution
Shichang Zhang
Tessa Han
Usha Bhalla
Hima Lakkaraju
FAtt
150
0
0
17 Feb 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
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
93
12
0
31 Dec 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
TDI
41
2
0
24 Oct 2024
Adversarial Attacks on Data Attribution
Adversarial Attacks on Data Attribution
Xinhe Wang
Pingbang Hu
Junwei Deng
Jiaqi W. Ma
TDI
58
0
0
09 Sep 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Huaiguang Cai
FedML
TDI
64
1
0
17 Jun 2024
Data Shapley in One Training Run
Data Shapley in One Training Run
Jiachen T. Wang
Prateek Mittal
Dawn Song
Ruoxi Jia
TDI
42
7
0
16 Jun 2024
Intriguing Properties of Data Attribution on Diffusion Models
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng
Tianyu Pang
Chao Du
Jing Jiang
Min-Bin Lin
TDI
34
20
1
01 Nov 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Yongchan Kwon
James Zou
TDI
FedML
39
35
0
16 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and
  Distributions
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
OOD
24
10
0
04 Apr 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang
R. Jia
FedML
TDI
52
94
0
30 May 2022
FastSHAP: Real-Time Shapley Value Estimation
FastSHAP: Real-Time Shapley Value Estimation
N. Jethani
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
67
123
0
15 Jul 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1