Defining and Quantifying the Emergence of Sparse Concepts in DNNs

11 November 2021

Papers citing "Defining and Quantifying the Emergence of Sparse Concepts in DNNs"

22 / 22 papers shown

Title
Technical Report: Quantifying and Analyzing the Generalization Power of a DNN Yuxuan He Junpeng Zhang Lei Cheng Hongyuan Zhang Quanshi Zhang AI4CE 40 0 0 11 May 2025
Interpreting Attributions and Interactions of Adversarial Attacks Xin Eric Wang Shuyu Lin Hao Zhang Yufei Zhu Quanshi Zhang AAML FAtt 42 15 0 16 Aug 2021
A Hypothesis for the Aesthetic Appreciation in Neural Networks Xu Cheng Xin Eric Wang Haotian Xue Zhe Liang Quanshi Zhang 43 11 0 31 Jul 2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs Xu Cheng Chuntung Chu Yi Zheng Jie Ren Quanshi Zhang 32 21 0 21 Jun 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 48 79 0 12 Jun 2021
Explanations for Monotonic Classifiers Sasha Rubin Thomas Gerspacher M. Cooper Alexey Ignatiev Nina Narodytska FAtt 55 44 0 01 Jun 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression Ian Covert Su-In Lee FAtt 50 166 0 02 Dec 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 62 95 0 08 Oct 2020
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 38 14 0 18 Dec 2018
Neural Network Acceptability Judgments Alex Warstadt Amanpreet Singh Samuel R. Bowman 198 1,390 0 31 May 2018
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations M. Harradon Jeff Druce Brian E. Ruttenberg BDL CML 43 82 0 02 Feb 2018
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs W. James Murdoch Peter J. Liu Bin Yu 58 209 0 16 Jan 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 114 281 0 16 Nov 2017
Interpreting CNN Knowledge via an Explanatory Graph Quanshi Zhang Ruiming Cao Feng Shi Ying Nian Wu Song-Chun Zhu FAtt GNN SSL 54 242 0 05 Aug 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 62 589 0 22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,514 0 11 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 158 5,920 0 04 Mar 2017
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 77 782 0 05 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 829 16,828 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 216 9,280 0 14 Dec 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 133 1,279 0 22 Dec 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 430 15,849 0 12 Nov 2013