HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep
Neural Networks

HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks

4 February 2021

Boyang Albert Li

Papers citing "HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks"

16 / 16 papers shown

Title
Data Cleansing for GANs Naoyuki Terashita Hiroki Ohashi Satoshi Hara AAML 56 0 0 01 Apr 2025
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 31 0 0 14 Aug 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 39 1 0 16 May 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 32 10 0 08 Dec 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min-Bin Lin TDI 34 20 1 01 Nov 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 26 11 0 05 Sep 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 19 0 0 26 Jan 2023
Influence Functions for Sequence Tagging Models Sarthak Jain Varun Manjunatha Byron C. Wallace A. Nenkova TDI 27 8 0 25 Oct 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 19 22 0 30 Apr 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 18 28 0 25 Jan 2022
Automatic Product Copywriting for E-Commerce Xueying Zhang Yanyan Zou Hainan Zhang Jing Zhou Shiliang Diao ... Xueqi He Yun Xiao Bo Long Han Yu Lingfei Wu 19 27 0 15 Dec 2021
Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime Rui Zhang Shihua Zhang TDI 19 21 0 15 Dec 2021
Longitudinal Distance: Towards Accountable Instance Attribution Rosina O. Weber Prateek Goel S. Amiri G. Simpson 11 0 0 23 Aug 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 104 716 0 13 Jun 2018
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 127 405 0 06 Mar 2017