2D-OOB: Attributing Data Contribution through Joint Valuation Framework

7 August 2024

Yongchan Kwon

Papers citing "2D-OOB: Attributing Data Contribution through Joint Valuation Framework"

21 / 21 papers shown

Title
OpenDataVal: a Unified Benchmark for Data Valuation Kevin Jiang Weixin Liang James Zou Yongchan Kwon FedML 98 37 0 18 Jun 2023
2D-Shapley: A Framework for Fragmented Data Valuation Zhihong Liu H. Just Xiangyu Chang Xinyu Chen R. Jia TDI 72 5 0 18 Jun 2023
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm Boxin Zhao Boxiang Lyu Raul Castro Fernandez Mladen Kolar 60 7 0 05 Jun 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms H. Just Feiyang Kang Jiachen T. Wang Yi Zeng Myeongseob Ko Ming Jin R. Jia 70 60 0 28 Apr 2023
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Zou TDI 79 132 0 26 Oct 2021
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors Ren Pang Zheng Zhang Xiangshan Gao Zhaohan Xi S. Ji Peng Cheng Xiapu Luo Ting Wang AAML 67 32 0 16 Dec 2020
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression Ian Covert Su-In Lee FAtt 56 170 0 02 Dec 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 190 464 0 09 Aug 2020
Efficient computation and analysis of distributional Shapley values Yongchan Kwon Manuel A. Rivas James Zou FAtt TDI 115 62 0 02 Jul 2020
OpenML-Python: an extensible Python API for OpenML Matthias Feurer Jan N. van Rijn Arlind Kadra Pieter Gijsbers Neeratyoy Mallik Sahithya Ravi Andreas Müller Joaquin Vanschoren Frank Hutter ELM GP 71 90 0 06 Nov 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan O. Arik Tomas Pfister TDI 83 180 0 25 Sep 2019
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems Shalmali Joshi Oluwasanmi Koyejo Warut D. Vijitbenjaronk Been Kim Joydeep Ghosh FaML 66 187 0 22 Jul 2019
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 77 458 0 03 Jul 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,840 0 15 Dec 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 115 2,354 0 01 Nov 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 213 2,894 0 14 Mar 2017
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,672 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013