Multi-Stage Influence Function

Multi-Stage Influence Function

Neural Information Processing Systems (NeurIPS), 2020

17 July 2020

Sanjiv Kumar

Duane S. Boning

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Papers citing "Multi-Stage Influence Function"

15 / 15 papers shown

Title
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored ParameterizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Yuntai Bao Xuhong Zhang Tianyu Du Xinkui Zhao Jiang Zong Hao Peng Yuxiang Cai TDI 229 0 0 08 May 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Guang Dai Lijie Hu Di Wang LRM 289 8 0 17 Feb 2025
Dissecting Representation Misalignment in Contrastive Learning via Influence Function Lijie Hu Chenyang Ren Huanyi Xie Khouloud Saadi Shu Yang Jing Zhang Di Wang Di Wang 145 3 0 18 Nov 2024
Channel Matters: Estimating Channel Influence for Multivariate Time Series Muyao Wang Zeke Xie Bo Chen Hongwei Liu James Kwok AI4TS TDI 100 1 0 27 Aug 2024
Editable Concept Bottleneck Models Lijie Hu Chenyang Ren Zhengyu Hu Cheng-Long Wang Haiyan Zhao Hui Xiong Jingfeng Zhang Di Wang 205 13 0 24 May 2024
Additional Positive Enables Better Representation Learning for Medical ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Jingtong Hu Yiyu Shi SSL 119 2 0 31 May 2023
Regularizing Second-Order Influences for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2023 Zhicheng Sun Yadong Mu G. Hua CLL 154 31 0 20 Apr 2023
Interpreting Unfairness in Graph Neural Networks via Training Node AttributionAAAI Conference on Artificial Intelligence (AAAI), 2022 Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 127 28 0 25 Nov 2022
Understanding Programmatic Weak Supervision via Source-aware Influence FunctionNeural Information Processing Systems (NeurIPS), 2022 Jieyu Zhang Hong Wang Cheng-Yu Hsieh Alexander Ratner TDI 151 13 0 25 May 2022
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data Xiaochuang Han Yulia Tsvetkov 153 32 0 25 May 2022
Scaling Up Influence FunctionsAAAI Conference on Artificial Intelligence (AAAI), 2021 Andrea Schioppa Polina Zablotskaia David Vilar Artem Sokolov TDI 216 128 0 06 Dec 2021
Machine Unlearning of Features and LabelsNetwork and Distributed System Security Symposium (NDSS), 2021 Alexander Warnecke Lukas Pirch Christian Wressnegger Konrad Rieck MU 251 250 0 26 Aug 2021
Understanding Instance-based Interpretability of Variational Auto-EncodersNeural Information Processing Systems (NeurIPS), 2021 Zhifeng Kong Kamalika Chaudhuri TDI 204 29 0 29 May 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 Yuanyuan Chen Boyang Albert Li Han Yu Pengcheng Wu Chunyan Miao TDI 246 49 0 04 Feb 2021
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani Lav Varshney Caiming Xiong R. Socher Nazneen Rajani 284 328 0 26 Jun 2020

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