Data Valuation using Reinforcement Learning

25 September 2019

Tomas Pfister

Papers citing "Data Valuation using Reinforcement Learning"

50 / 89 papers shown

Title
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge Senkang Hu Yanan Ma Yihang Tao Zhengru Fang Zihan Fang Yiqin Deng Sam Kwong Yuguang Fang 24 0 0 29 Mar 2025
Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning Mohammad Amin Ghanizadeh Mohammad Javad Dousti 43 0 0 06 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
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 44 0 0 14 Feb 2025
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation Renqi Jia Xiaokun Zhang Bowei He Qiannan Zhu Weitao Xu Jiehao Chen Chen-li Ma TDI 72 0 0 12 Feb 2025
LossVal: Efficient Data Valuation for Neural Networks Tim Wibiral Mohamed Karim Belaid Maximilian Rabus Ansgar Scherp TDI 92 0 0 05 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 83 5 0 05 Dec 2024
Unsupervised Event Outlier Detection in Continuous Time Somjit Nath Yik Chau Lui Siqi Liu AI4TS 67 0 0 25 Nov 2024
DemoShapley: Valuation of Demonstrations for In-Context Learning Shan Xie Man Luo Chadly Daniel Stern Mengnan Du Lu Cheng 30 1 0 10 Oct 2024
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states Yuto Nishimura Masataka Sawayama Ayumu Yamashita Hideki Nakayama Kaoru Amano 32 0 0 06 Oct 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 36 3 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
2D-OOB: Attributing Data Contribution through Joint Valuation Framework Yifan Sun Jingyan Shen Yongchan Kwon TDI 43 1 0 07 Aug 2024
Data-Centric AI in the Age of Large Language Models Xinyi Xu Zhaoxuan Wu Rui Qiao Arun Verma Yao Shu ... Xiaoqiang Lin Wenyang Hu Zhongxiang Dai Pang Wei Koh Bryan Kian Hsiang Low ALM 44 2 0 20 Jun 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 50 1 0 17 Jun 2024
Is Data Valuation Learnable and Interpretable? Ou Wu Weiyao Zhu Mengyang Li TDI 37 1 0 03 Jun 2024
Competing for pixels: a self-play algorithm for weakly-supervised segmentation Shaheer U. Saeed Shiqi Huang João Ramalhinho Iani J. M. B. Gayo Nina Montaña-Brown ... Stephen P. Pereira Brian R. Davidson D. Barratt Matthew J. Clarkson Yipeng Hu 60 0 0 26 May 2024
Data Valuation by Leveraging Global and Local Statistical Information Xiaoling Zhou Ou Wu Michael K. Ng Hao Jiang TDI 22 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 37 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 55 1 0 22 May 2024
Data Valuation with Gradient Similarity Nathaniel J. Evans Gordon B. Mills Guanming Wu Xubo Song Shannon K. McWeeney TDI 20 1 0 13 May 2024
Neural Dynamic Data Valuation Zhangyong Liang Huanhuan Gao Ji Zhang TDI 40 1 0 30 Apr 2024
Improve Knowledge Distillation via Label Revision and Data Selection Weichao Lan Yiu-ming Cheung Qing Xu Buhua Liu Zhikai Hu Mengke Li Zhenghua Chen 30 2 0 03 Apr 2024
Incentives in Private Collaborative Machine Learning Rachael Hwee Ling Sim Yehong Zhang Nghia Hoang Xinyi Xu K. H. Low P. Jaillet 25 4 0 02 Apr 2024
Data Acquisition via Experimental Design for Decentralized Data Markets Charles Lu Baihe Huang Sai Praneeth Karimireddy Praneeth Vepakomma Michael I. Jordan Ramesh Raskar FedML OOD 33 2 0 20 Mar 2024
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI Soumili Das Shubhadip Nag Shreyyash Sharma Suparna Bhattacharya Sourangshu Bhattacharya 24 0 0 08 Mar 2024
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images Martynas Pocius Wen Yan D. Barratt M. Emberton Matthew J. Clarkson Yipeng Hu Shaheer U. Saeed 32 0 0 21 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi Wei Jin Charu C. Aggarwal Yao Ma 42 3 0 02 Feb 2024
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization Songming Zhang Yuxiao Luo Qizhou Wang Haoang Chi Xiaofeng Chen Bo Han Jinyan Li OODD 30 0 0 25 Dec 2023
Adaptive Training Distributions with Scalable Online Bilevel Optimization David Grangier Pierre Ablin Awni Y. Hannun 21 10 0 20 Nov 2023
Data Valuation and Detections in Federated Learning Wenqian Li Shuran Fu Fengrui Zhang Yan Pang FedML TDI 27 4 0 09 Nov 2023
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 39 8 0 27 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 30 1 0 25 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models Yongchan Kwon Eric Wu K. Wu James Zou DiffM TDI 18 53 0 02 Oct 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang X. J. Yang Boyang Albert Li 21 3 0 25 Sep 2023
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images Wei Yi V. Stavrinides Zachary Michael Cieman Baum Qianye Yang D. Barratt Matthew J. Clarkson Yipeng Hu Shaheer U. Saeed 22 3 0 22 Aug 2023
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy Zihao Zhu Mingda Zhang Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML SILM 42 9 0 14 Jul 2023
OpenDataVal: a Unified Benchmark for Data Valuation Kevin Jiang Weixin Liang James Y. Zou Yongchan Kwon FedML 46 34 0 18 Jun 2023
2D-Shapley: A Framework for Fragmented Data Valuation Zhihong Liu H. Just Xiangyu Chang X. Chen R. Jia TDI 32 5 0 18 Jun 2023
Shapley Value on Probabilistic Classifiers Xiang Li Haocheng Xia Jinfei Liu TDI 16 0 0 12 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 14 7 0 05 Jun 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero Benjamin Heymann Maxime Vono P. Loiseau Vianney Perchet FedML TDI 37 3 0 03 Jun 2023
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning Eloy Anguiano Batanero Ángela Fernández Pascual Á. Jiménez OffRL 11 0 0 23 May 2023
Data valuation: The partial ordinal Shapley value for machine learning Jie Liu Pei Wang Chao Wu TDI 21 0 0 02 May 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms H. Just Feiyang Kang Jiachen T. Wang Yi Zeng Myeongseob Ko Ming Jin R. Jia 27 54 0 28 Apr 2023
Incorporating Experts' Judgment into Machine Learning Models Hogun Park Aly Megahed Peifeng Yin Yuya Jeremy Ong P. Mahajan Pei Guo 8 8 0 24 Apr 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Y. Zou TDI FedML 31 35 0 16 Apr 2023
Synthetic Sample Selection for Generalized Zero-Shot Learning Shreyank N. Gowda 22 16 0 06 Apr 2023
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models Mohamed Karim Belaid Dorra El Mekki Maximilian Rabus Eyke Hüllermeier 17 3 0 02 Apr 2023
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 35 3 0 29 Mar 2023