Detecting Statistical Interactions from Neural Network Weights

14 May 2017

Papers citing "Detecting Statistical Interactions from Neural Network Weights"

33 / 33 papers shown

Title
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 82 1 0 17 Feb 2025
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 86 82 0 17 Mar 2020
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs W. James Murdoch Peter J. Liu Bin Yu 51 209 0 16 Jan 2018
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 48 778 0 02 Oct 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis L. Arras G. Montavon K. Müller Wojciech Samek FAtt 39 354 0 22 Jun 2017
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 111 174 0 16 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 123 3,848 0 10 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 108 585 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 115 5,920 0 04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 346 3,742 0 28 Feb 2017
Interpretation of Prediction Models Using the Input Gradient Yotam Hechtlinger FaML AI4CE FAtt 32 85 0 23 Nov 2016
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 59 383 0 13 Oct 2016
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products Kush R. Varshney H. Alemzadeh 50 223 0 05 Oct 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 97 1,238 0 19 Aug 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 211 464 0 02 Jul 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 55 1,888 0 28 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 123 3,672 0 10 Jun 2016
Interaction Pursuit with Feature Screening and Selection Yingying Fan Yinfei Kong Daoji Li Jinchi Lv 36 28 0 28 May 2016
Interaction pursuit in high-dimensional multi-response regression via distance correlation Yinfei Kong Daoji Li Yingying Fan Jinchi Lv 30 58 0 11 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 582 16,828 0 16 Feb 2016
Benefits of depth in neural networks Matus Telgarsky 290 605 0 14 Feb 2016
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain Zhengping Che S. Purushotham R. Khemani Yan Liu 35 139 0 11 Dec 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 94 1,866 0 22 Jun 2015
Visualizing and Understanding Recurrent Networks A. Karpathy Justin Johnson Li Fei-Fei HAI 81 1,100 0 05 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 281 10,034 0 10 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 163 18,922 0 20 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 92 1,959 0 26 Nov 2014
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 110 3,645 0 24 Jun 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 177 7,252 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 321 15,825 0 12 Nov 2013
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm Deanna Needell Nathan Srebro Rachel A. Ward 94 551 0 21 Oct 2013
A lasso for hierarchical interactions Jacob Bien Jonathan E. Taylor Robert Tibshirani 130 484 0 22 May 2012
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 224 2,586 0 28 Mar 2008