Understanding Black-box Predictions via Influence Functions

14 March 2017

Pang Wei Koh

Papers citing "Understanding Black-box Predictions via Influence Functions"

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Title
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Zhehao Huang Xinwen Cheng Jie Zhang Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang CLL 47 0 0 21 May 2025
HessFormer: Hessians at Foundation Scale Diego Granziol 17 0 0 16 May 2025
Self-Consuming Generative Models with Adversarially Curated Data Xiukun Wei Xueru Zhang WIGM 44 0 0 14 May 2025
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks Ibrahim Talha Ersoy Karoline Wiesner 25 0 0 10 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 58 0 0 08 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 35 0 0 05 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 43 0 0 05 May 2025
Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 0 0 29 Apr 2025
Structural Inference: Interpreting Small Language Models with Susceptibilities Garrett Baker George Wang Jesse Hoogland Daniel Murfet AAML 81 1 0 25 Apr 2025
MAGIC: Near-Optimal Data Attribution for Deep Learning Andrew Ilyas Logan Engstrom TDI 43 0 0 23 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 32 0 0 18 Apr 2025
Measuring Déjà vu Memorization Efficiently Narine Kokhlikyan Bargav Jayaraman Florian Bordes Chuan Guo Kamalika Chaudhuri 33 1 0 08 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 62 0 0 01 Apr 2025
Data Cleansing for GANs Naoyuki Terashita Hiroki Ohashi Satoshi Hara AAML 56 0 0 01 Apr 2025
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi Chong Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 71 0 0 12 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 48 0 0 10 Mar 2025
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification Basudha Pal Siyuan Huang 56 0 0 09 Mar 2025
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation Yanzhou Pan Huawei Lin Yide Ran Jiamin Chen Xiaodong Yu Weijie Zhao Denghui Zhang Zhaozhuo Xu 42 1 0 02 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 130 2 0 21 Feb 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 53 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 160 0 0 17 Feb 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning Lefei Zhang Lijie Hu Di Wang LRM 100 1 0 17 Feb 2025
Suboptimal Shapley Value Explanations Xiaolei Lu FAtt 67 0 0 17 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
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yuanyuan Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 48 0 0 09 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
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 70 0 0 01 Feb 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators Felix Dangel Runa Eschenhagen Weronika Ormaniec Andres Fernandez Lukas Tatzel Agustinus Kristiadi 69 3 0 31 Jan 2025
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity T. Y. S. S. Santosh Chen Jia Patrick Goroncy Matthias Grabmair AILaw 57 1 0 23 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 42 1 0 21 Jan 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
Knowledge Distillation with Adapted Weight Sirong Wu Xi Luo Junjie Liu Yuhui Deng 50 0 0 06 Jan 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 99 12 0 31 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 96 6 0 05 Dec 2024
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 100 6 0 30 Nov 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 80 3 0 23 Nov 2024
Influence functions and regularity tangents for efficient active learning Frederik Eaton TDI 98 0 0 22 Nov 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 57 0 0 05 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks Jim Zhao Sidak Pal Singh Aurelien Lucchi AI4CE 48 0 0 04 Nov 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 46 2 0 24 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 40 2 0 23 Oct 2024
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition? Urja Khurana Eric T. Nalisnick Antske Fokkens 64 1 0 21 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel Bálint Mucsányi Osane Hackel Philipp Hennig 51 0 0 18 Oct 2024
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li Zichun Yu Chenyan Xiong SyDa 44 1 0 18 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 43 0 0 17 Oct 2024
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
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Guangyi Liu Fengting Yuchi W. Zhao Jingjing Qu Yunhong Wang Siheng Chen ALM FedML 61 0 0 15 Oct 2024
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 58 5 0 09 Oct 2024