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
GraSS: Scalable Influence Function with Sparse Gradient Compression Pingbang Hu Joseph Melkonian Weijing Tang Han Zhao Jiaqi W. Ma TDI 131 0 0 25 May 2025
Do Large Language Models (Really) Need Statistical Foundations? Weijie Su 93 0 0 25 May 2025
DataRater: Meta-Learned Dataset Curation Dan A. Calian Gregory Farquhar Iurii Kemaev Luisa M. Zintgraf Matteo Hessel ... András Gyorgy Tom Schaul Jeffrey Dean Hado van Hasselt David Silver 106 0 0 23 May 2025
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics Yichi Zhang Zhihao Duan Yuning Huang Fengqing Zhu 106 0 0 23 May 2025
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks Ibrahim Talha Ersoy Karoline Wiesner 36 0 0 10 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 82 0 0 05 May 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 56 0 0 18 Apr 2025
Data Cleansing for GANs Naoyuki Terashita Hiroki Ohashi Satoshi Hara AAML 107 0 0 01 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 103 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 119 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 71 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 105 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 56 1 0 02 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 101 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 147 2 0 21 Feb 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning Lefei Zhang Lijie Hu Di Wang LRM 126 2 0 17 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 81 0 0 14 Feb 2025
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Moses Ananta Muhammad Farid Adilazuarda Zayd Muhammad Kawakibi Zuhri Ayu Purwarianti Alham Fikri Aji MQ 87 0 0 03 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 108 0 0 01 Feb 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 157 4 0 10 Jan 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 114 7 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 132 6 0 30 Nov 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 91 4 0 23 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks Jim Zhao Sidak Pal Singh Aurelien Lucchi AI4CE 74 0 0 04 Nov 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 56 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 86 2 0 23 Oct 2024
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition? Urja Khurana Eric T. Nalisnick Antske Fokkens 81 1 0 21 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel Bálint Mucsányi Osane Hackel Philipp Hennig 58 0 0 18 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner DiffM TDI 86 4 0 17 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 65 0 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 Yanjie Wang Siheng Chen ALM FedML 80 1 0 15 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 75 1 0 10 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 80 6 0 09 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 78 2 0 04 Oct 2024
Permissive Information-Flow Analysis for Large Language Models Shoaib Ahmed Siddiqui Radhika Gaonkar Boris Köpf David M. Krueger Andrew Paverd Ahmed Salem Shruti Tople Lukas Wutschitz Menglin Xia Santiago Zanella Béguelin 67 1 0 04 Oct 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 82 0 0 09 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail Mustansar Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 117 4 0 30 Aug 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 57 0 0 14 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 82 48 0 01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 80 8 0 01 Aug 2024
RegMix: Data Mixture as Regression for Language Model Pre-training Qian Liu Xiaosen Zheng Niklas Muennighoff Guangtao Zeng Longxu Dou Tianyu Pang Jing Jiang Min Lin MoE 99 48 1 01 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 73 12 0 25 Jun 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 92 1 0 17 Jun 2024
CELL your Model: Contrastive Explanations for Large Language Models Ronny Luss Erik Miehling Amit Dhurandhar 65 0 0 17 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 105 0 0 03 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 149 2 0 01 Jun 2024
Data-centric Prediction Explanation via Kernelized Stein Discrepancy Mahtab Sarvmaili Hassan Sajjad Ga Wu 92 1 0 22 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 69 1 0 08 Mar 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 41 0 0 09 Jan 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 74 1 0 30 Nov 2023