Interpretation of Neural Networks is Fragile

Interpretation of Neural Networks is Fragile

29 October 2017

Amirata Ghorbani

Papers citing "Interpretation of Neural Networks is Fragile"

17 / 467 papers shown

Title
Compensated Integrated Gradients to Reliably Interpret EEG Classification Kazuki Tachikawa Yuji Kawai Jihoon Park Minoru Asada FAtt 16 1 0 21 Nov 2018
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play Shi Feng Jordan L. Boyd-Graber HAI 9 127 0 23 Oct 2018
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values Julius Adebayo Justin Gilmer Ian Goodfellow Been Kim FAtt AAML 13 128 0 08 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 35 1,926 0 08 Oct 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 18 0 0 29 Sep 2018
Interpreting Neural Networks With Nearest Neighbors Eric Wallace Shi Feng Jordan L. Boyd-Graber AAML FAtt MILM 15 53 0 08 Sep 2018
DeepPINK: reproducible feature selection in deep neural networks Yang Young Lu Yingying Fan Jinchi Lv William Stafford Noble FAtt 19 124 0 04 Sep 2018
Knockoffs for the mass: new feature importance statistics with false discovery guarantees Jaime Roquero Gimenez Amirata Ghorbani James Y. Zou CML 11 54 0 17 Jul 2018
Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed Ian Goodfellow Jascha Narain Sohl-Dickstein OOD AAML 6 177 0 28 Jun 2018
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning J. Dhaliwal S. Shintre AAML 12 15 0 27 Jun 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 19 9 0 01 Jun 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 11 317 0 20 Apr 2018
Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du Ninghao Liu Qingquan Song Xia Hu FAtt 12 125 0 19 Mar 2018
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution Lingyang Chu X. Hu Juhua Hu Lanjun Wang J. Pei 12 99 0 17 Feb 2018
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis Takashi Matsubara T. Tashiro K. Uehara MedIm 16 42 0 18 Dec 2017
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 59 1,791 0 30 Nov 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016