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Knowledge Consistency between Neural Networks and Beyond

5 August 2019

Papers citing "Knowledge Consistency between Neural Networks and Beyond"

20 / 20 papers shown

Title
We're Different, We're the Same: Creative Homogeneity Across LLMs Emily Wenger Yoed Kenett 130 9 0 31 Jan 2025
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 67 5 0 13 Sep 2024
Dissecting RGB-D Learning for Improved Multi-modal Fusion Hao Chen Hao Zhou Yunshu Zhang Zheng Lin Yongjian Deng 123 1 0 19 Aug 2023
PMET: Precise Model Editing in a Transformer Xiaopeng Li Shasha Li Shangwen Wang Jing Yang Jun Ma Jie Yu KELM 145 135 0 17 Aug 2023
FAIRER: Fairness as Decision Rationale Alignment Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 60 16 0 27 Jun 2023
GULP: a prediction-based metric between representations Enric Boix Adserà Hannah Lawrence George Stepaniants Philippe Rigollet 85 11 0 12 Oct 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li Wenxuan Fan Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao De-Chuan Zhan 120 31 0 10 Oct 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 128 134 0 27 Jul 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs Jie Ren Mingjie Li Meng Zhou Shih-Han Chan Quanshi Zhang 49 3 0 04 May 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures Shaohui Lin Bo Ji Rongrong Ji Angela Yao 57 4 0 28 Apr 2022
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 94 10 0 05 Nov 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation Jiahui Li Kun Kuang Lin Li Long Chen Songyang Zhang Jian Shao Jun Xiao FAtt 106 19 0 03 Sep 2021
Grounding Representation Similarity with Statistical Testing Frances Ding Jean-Stanislas Denain Jacob Steinhardt 80 30 0 03 Aug 2021
ImageNet Pre-training also Transfers Non-Robustness Jiaming Zhang Jitao Sang Qiaomin Yi Yunfan Yang Huiwen Dong Jian Yu 63 3 0 21 Jun 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective Helong Zhou Liangchen Song Jiajie Chen Ye Zhou Guoli Wang Junsong Yuan Qian Zhang 85 176 0 01 Feb 2021
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations Yunkai Yu Yuyang You Zhihong Yang Guozheng Liu Peiyao Li Zhicheng Yang Wenjing Shan 37 2 0 31 Jan 2021
Interpreting Multivariate Shapley Interactions in DNNs Hao Zhang Yichen Xie Longjie Zheng Die Zhang Quanshi Zhang TDI FAtt 90 7 0 10 Oct 2020
Transferred Discrepancy: Quantifying the Difference Between Representations Yunzhen Feng Runtian Zhai Di He Liwei Wang Bin Dong DRL 43 11 0 24 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 77 18 0 29 Jun 2020
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 81 122 0 07 Mar 2020