On the Accuracy of Influence Functions for Measuring Group Effects

30 May 2019

Pang Wei Koh

Papers citing "On the Accuracy of Influence Functions for Measuring Group Effects"

44 / 44 papers shown

Title
MAGIC: Near-Optimal Data Attribution for Deep Learning Andrew Ilyas Logan Engstrom TDI 43 0 0 23 Apr 2025
DUPRE: Data Utility Prediction for Efficient Data Valuation Kieu Thao Nguyen Pham Rachael Hwee Ling Sim Q. Nguyen Szu Hui Ng Bryan Kian Hsiang Low TDI 51 0 0 22 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 55 0 0 14 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Sihang Li Cunchun Li Xiang Wang Xiangnan He 73 1 0 01 Feb 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 142 2 0 10 Jan 2025
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 2 0 11 Jun 2024
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 29 5 0 09 Dec 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min Lin TDI 38 20 1 01 Nov 2023
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 23 5 0 09 Oct 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 31 12 0 05 Sep 2023
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach Soonwoo Kwon Sojung Kim S. Lee Jin-Young Kim Suyeong An Kyuseok Kim 18 3 0 23 Aug 2023
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs Kelvin Guu Albert Webson Ellie Pavlick Lucas Dixon Ian Tenney Tolga Bolukbasi TDI 70 33 0 14 Mar 2023
In-context Example Selection with Influences Nguyen Tai Eric Wong 24 48 0 21 Feb 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 29 0 0 26 Jan 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 55 10 0 01 Dec 2022
Variance Tolerance Factors For Interpreting ALL Neural Networks Sichao Li Amanda S. Barnard FAtt 32 3 0 28 Sep 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 155 108 0 19 May 2022
First is Better Than Last for Language Data Influence Chih-Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar TDI 34 20 0 24 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 26 25 0 10 Feb 2022
Approximating Full Conformal Prediction at Scale via Influence Functions Javier Abad Umang Bhatt Adrian Weller Giovanni Cherubin 34 10 0 02 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc A. Madry TDI 52 131 0 01 Feb 2022
Counterfactual Memorization in Neural Language Models Chiyuan Zhang Daphne Ippolito Katherine Lee Matthew Jagielski Florian Tramèr Nicholas Carlini 32 129 0 24 Dec 2021
Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime Rui Zhang Shihua Zhang TDI 32 21 0 15 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 33 2 0 24 Nov 2021
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 33 174 0 17 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 21 19 0 04 Nov 2021
Quantifying Epistemic Uncertainty in Deep Learning Ziyi Huang Henry Lam Haofeng Zhang UQCV BDL UD PER 24 12 0 23 Oct 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation Wei Zhang Ziming Huang Yada Zhu Guangnan Ye Xiaodong Cui Fan Zhang 33 17 0 09 Jun 2021
Influence Based Defense Against Data Poisoning Attacks in Online Learning Sanjay Seetharaman Shubham Malaviya KV Rosni Manish Shukla S. Lodha TDI AAML 39 9 0 24 Apr 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 41 102 0 31 Dec 2020
Data Appraisal Without Data Sharing Mimee Xu Laurens van der Maaten Awni Y. Hannun TDI 39 6 0 11 Dec 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh Alex Schwing 43 95 0 02 Jul 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope S. Feizi TDI 37 220 0 25 Jun 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 24 114 0 24 Jun 2020
Approximate Cross-Validation for Structured Models S. Ghosh William T. Stephenson Tin D. Nguyen Sameer K. Deshpande Tamara Broderick 16 15 0 23 Jun 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa M. Schaar UQCV BDL 14 22 0 20 Jun 2020
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 32 43 0 12 Apr 2020
RelatIF: Identifying Explanatory Training Examples via Relative Influence Elnaz Barshan Marc-Etienne Brunet Gintare Karolina Dziugaite TDI 47 30 0 25 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 27 213 0 09 Mar 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 22 251 0 24 Feb 2020
On Second-Order Group Influence Functions for Black-Box Predictions S. Basu Xuchen You S. Feizi TDI 25 68 0 01 Nov 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 321 0 21 Aug 2019
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 29 380 0 03 Jul 2019