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1908.01581
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Knowledge Consistency between Neural Networks and Beyond
International Conference on Learning Representations (ICLR), 2019
5 August 2019
Ruofan Liang
Tianlin Li
Longfei Li
Jingchao Wang
Quanshi Zhang
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Papers citing
"Knowledge Consistency between Neural Networks and Beyond"
20 / 20 papers shown
We're Different, We're the Same: Creative Homogeneity Across LLMs
Emily Wenger
Yoed Kenett
526
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0
31 Jan 2025
Layerwise Change of Knowledge in Neural Networks
International Conference on Machine Learning (ICML), 2024
Xu Cheng
Lei Cheng
Zhaoran Peng
Yang Xu
Tian Han
Quanshi Zhang
KELM
FAtt
280
7
0
13 Sep 2024
Dissecting RGB-D Learning for Improved Multi-modal Fusion
Hao Chen
Hao Zhou
Yunshu Zhang
Zheng Lin
Yongjian Deng
414
1
0
19 Aug 2023
PMET: Precise Model Editing in a Transformer
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaopeng Li
Shasha Li
Shezheng Song
Jing Yang
Jun Ma
Jie Yu
KELM
593
190
0
17 Aug 2023
FAIRER: Fairness as Decision Rationale Alignment
International Conference on Machine Learning (ICML), 2023
Tianlin Li
Qing Guo
Aishan Liu
Mengnan Du
Zhiming Li
Yang Liu
267
19
0
27 Jun 2023
GULP: a prediction-based metric between representations
Neural Information Processing Systems (NeurIPS), 2022
Enric Boix Adserà
Hannah Lawrence
George Stepaniants
Philippe Rigollet
207
14
0
12 Oct 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Neural Information Processing Systems (NeurIPS), 2022
Xin-Chun Li
Wenxuan Fan
Shaoming Song
Yinchuan Li
Bingshuai Li
Yunfeng Shao
De-Chuan Zhan
286
37
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
795
177
0
27 Jul 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
International Conference on Machine Learning (ICML), 2022
Jie Ren
Mingjie Li
Meng Zhou
Shih-Han Chan
Quanshi Zhang
181
4
0
04 May 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
Computer Vision and Image Understanding (CVIU), 2022
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
200
4
0
28 Apr 2022
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
268
11
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
409
23
0
03 Sep 2021
Grounding Representation Similarity with Statistical Testing
Frances Ding
Jean-Stanislas Denain
Jacob Steinhardt
230
32
0
03 Aug 2021
ImageNet Pre-training also Transfers Non-Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jiaming Zhang
Jitao Sang
Qiaomin Yi
Yunfan Yang
Huiwen Dong
Jian Yu
372
5
0
21 Jun 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
International Conference on Learning Representations (ICLR), 2021
Helong Zhou
Liangchen Song
Jiajie Chen
Ye Zhou
Guoli Wang
Junsong Yuan
Qian Zhang
374
205
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
220
2
0
31 Jan 2021
Interpreting Multivariate Shapley Interactions in DNNs
Hao Zhang
Yichen Xie
Longjie Zheng
Die Zhang
Quanshi Zhang
TDI
FAtt
557
7
0
10 Oct 2020
Transferred Discrepancy: Quantifying the Difference Between Representations
Yunzhen Feng
Runtian Zhai
Di He
Liwei Wang
Bin Dong
DRL
147
11
0
24 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
299
20
0
29 Jun 2020
Explaining Knowledge Distillation by Quantifying the Knowledge
Computer Vision and Pattern Recognition (CVPR), 2020
Feng He
Zhefan Rao
Yilan Chen
Quanshi Zhang
263
136
0
07 Mar 2020
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