Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

26 October 2021

Papers citing "Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning"

50 / 94 papers shown

Title
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 68 0 0 23 Mar 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 65 0 0 09 Mar 2025
Optimizing Product Provenance Verification using Data Valuation Methods Raquib Bin Yousuf H. Just Shengzhe Xu Brian Mayer Victor Deklerck ... J. Simeone Jade Saunders Chang-Tien Lu Ruoxi Jia Naren Ramakrishnan 45 0 0 21 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 145 0 0 17 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 39 0 0 14 Feb 2025
On the Impact of the Utility in Semivalue-based Data Valuation Mélissa Tamine Benjamin Heymann P. Loiseau Maxime Vono TDI 75 0 0 10 Feb 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
Data value estimation on private gradients Zijian Zhou Xinyi Xu Daniela Rus Bryan Kian Hsiang Low 72 0 0 22 Dec 2024
LossVal: Efficient Data Valuation for Neural Networks Tim Wibiral Mohamed Karim Belaid Maximilian Rabus Ansgar Scherp TDI 92 0 0 05 Dec 2024
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Junwei Deng Weijing Tang Jiaqi W. Ma TDI 121 0 0 02 Dec 2024
Towards Data Valuation via Asymmetric Data Shapley Xi Zheng Xiangyu Chang Ruoxi Jia Yong Tan TDI FedML 39 1 0 01 Nov 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently Weida Li Yaoliang Yu 26 1 0 31 Oct 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 15 0 0 21 Oct 2024
DemoShapley: Valuation of Demonstrations for In-Context Learning Shan Xie Man Luo Chadly Daniel Stern Mengnan Du Lu Cheng 25 1 0 10 Oct 2024
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values Yurong Liu R. Teal Witter Flip Korn Tarfah Alrashed Dimitris Paparas Christopher Musco Juliana Freire FAtt 39 0 0 10 Oct 2024
Group Shapley Value and Counterfactual Simulations in a Structural Model Yongchan Kwon Sokbae Lee Guillaume A. Pouliot 18 0 0 09 Oct 2024
Task-oriented Time Series Imputation Evaluation via Generalized Representers Zhixian Wang Linxiao Yang Liang Sun Qingsong Wen Yi Wang AI4TS 26 0 0 09 Oct 2024
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation Xinyu Zhou Simin Fan Martin Jaggi TDI 20 0 0 07 Oct 2024
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states Yuto Nishimura Masataka Sawayama Ayumu Yamashita Hideki Nakayama Kaoru Amano 24 2 0 06 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 84 0 0 01 Oct 2024
Do Influence Functions Work on Large Language Models? Zhe Li Wei Zhao Yige Li Jun Sun TDI 28 1 0 30 Sep 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 53 0 0 09 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 31 0 0 05 Sep 2024
Global-to-Local Support Spectrums for Language Model Explainability Lucas Agussurja Xinyang Lu Bryan Kian Hsiang Low FAtt 21 0 0 12 Aug 2024
2D-OOB: Attributing Data Contribution through Joint Valuation Framework Yifan Sun Jingyan Shen Yongchan Kwon TDI 30 1 0 07 Aug 2024
The Susceptibility of Example-Based Explainability Methods to Class Outliers Ikhtiyor Nematov Dimitris Sacharidis Tomer Sagi K. Hose 24 1 0 30 Jul 2024
Interpretable Triplet Importance for Personalized Ranking Bowei He Chen-li Ma 18 0 0 28 Jul 2024
Uncertainty Quantification of Data Shapley via Statistical Inference Mengmeng Wu Zhihong Liu Xiang Li Ruoxi Jia Xiangyu Chang TDI 38 1 0 28 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers? Chaoqi Liang Guanglei Yang Lifeng Qiao Zitong Huang Hongliang Yan Yunchao Wei W. Zuo 36 0 0 20 Jun 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 48 1 0 17 Jun 2024
Data Shapley in One Training Run Jiachen T. Wang Prateek Mittal Dawn Song Ruoxi Jia TDI 27 7 0 16 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 35 3 0 07 Jun 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges Hoyong Choi Nohyun Ki Hye Won Chung 27 2 0 05 Jun 2024
Is Data Valuation Learnable and Interpretable? Ou Wu Weiyao Zhu Mengyang Li TDI 24 1 0 03 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 51 0 0 03 Jun 2024
Scaling Laws for the Value of Individual Data Points in Machine Learning Ian Covert Wenlong Ji Tatsunori Hashimoto James Y. Zou TDI 29 8 0 30 May 2024
Efficient Ensembles Improve Training Data Attribution Junwei Deng Ting-Wei Li Shichang Zhang Jiaqi Ma TDI 17 2 0 27 May 2024
Data Valuation by Leveraging Global and Local Statistical Information Xiaoling Zhou Ou Wu Michael K. Ng Hao Jiang TDI 17 0 0 23 May 2024
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Sang Keun Choe Hwijeen Ahn Juhan Bae Kewen Zhao Minsoo Kang ... Teruko Mitamura Jeff Schneider Eduard Hovy Roger C. Grosse Eric P. Xing TDI 26 28 0 22 May 2024
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini Maja R. Rudolph Sabrina Schmedding Chen Qiu 45 1 0 22 May 2024
Training Data Attribution via Approximate Unrolled Differentiation Juhan Bae Wu Lin Jonathan Lorraine Roger C. Grosse TDI MU 36 11 0 20 May 2024
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits Jiachen T. Wang Tianji Yang James Y. Zou Yongchan Kwon Ruoxi Jia TDI 20 9 0 06 May 2024
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra Bo Li Jian Chen Prasant Mohapatra Hongfu Liu TDI 18 0 0 06 May 2024
Neural Dynamic Data Valuation Zhangyong Liang Huanhuan Gao Ji Zhang TDI 27 1 0 30 Apr 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 10 2 0 15 Feb 2024
EcoVal: An Efficient Data Valuation Framework for Machine Learning Ayush K Tarun Vikram S Chundawat Murari Mandal Hong Ming Tan Bowei Chen Mohan S. Kankanhalli TDI 11 1 0 14 Feb 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes Myeongseob Ko Feiyang Kang Weiyan Shi Ming Jin Zhou Yu Ruoxi Jia TDI 11 4 0 14 Feb 2024
Game-theoretic Counterfactual Explanation for Graph Neural Networks Chirag Chhablani Sarthak Jain Akshay Channesh Ian A. Kash Sourav Medya 28 6 0 08 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi Wei Jin Charu C. Aggarwal Yao Ma 34 3 0 02 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Y. Zou Tatsunori Hashimoto TDI 22 7 0 29 Jan 2024