"Influence Sketching": Finding Influential Samples In Large-Scale
Regressions

"Influence Sketching": Finding Influential Samples In Large-Scale Regressions

17 November 2016

Papers citing ""Influence Sketching": Finding Influential Samples In Large-Scale Regressions"

17 / 17 papers shown

Title
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
Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data Xiaochen Zhang Haoyi Xiong 39 0 0 23 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories M. Nagaraj Deepak Ravikumar Efstathia Soufleri Kaushik Roy 41 0 0 12 Mar 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
The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev Joshua Vendrow Hadi Salman Sung Min Park Aleksander Madry 16 20 0 11 Dec 2023
Representer Point Selection for Explaining Regularized High-dimensional Models Che-Ping Tsai Jiong Zhang Eli Chien Hsiang-Fu Yu Cho-Jui Hsieh Pradeep Ravikumar 23 2 0 31 May 2023
TRAK: Attributing Model Behavior at Scale Sung Min Park Kristian Georgiev Andrew Ilyas Guillaume Leclerc A. Madry TDI 30 130 0 24 Mar 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 83 0 09 Dec 2022
Scaling Up Influence Functions Andrea Schioppa Polina Zablotskaia David Vilar Artem Sokolov TDI 33 91 0 06 Dec 2021
Revisiting Methods for Finding Influential Examples Karthikeyan K Anders Søgaard TDI 22 30 0 08 Nov 2021
Interactive Label Cleaning with Example-based Explanations Stefano Teso A. Bontempelli Fausto Giunchiglia Andrea Passerini 38 45 0 07 Jun 2021
Scalable Explanation of Inferences on Large Graphs Chao Chen Yuhang Liu Xi Zhang Sihong Xie 16 6 0 13 Aug 2019
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution Zicun Cong Lingyang Chu Lanjun Wang X. Hu J. Pei 233 5 0 17 Jun 2019
Towards Generic Deobfuscation of Windows API Calls V. Kotov M. Wojnowicz AAML 10 14 0 13 Feb 2018
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks Yongshuai Liu Jiyu Chen Hao Chen AAML 27 14 0 09 Jan 2018
Lazy stochastic principal component analysis M. Wojnowicz Dinh Nguyen Li Li Xuan Zhao 35 2 0 21 Sep 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 28 2,826 0 14 Mar 2017