Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes

14 June 2018

Adam R. Kosiorek

Alex Bewley

Markus Wulfmeier

Andrea Vedaldi

Papers citing "Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes"

14 / 14 papers shown

Title
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking Oliver Groth F. Fuchs Ingmar Posner Andrea Vedaldi 69 100 0 21 Apr 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 64 264 0 10 Jan 2018
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning Ruihao Li Sen Wang Zhiqiang Long Dongbing Gu MDE 67 512 0 20 Sep 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability M. Raghu Justin Gilmer J. Yosinski Jascha Narain Sohl-Dickstein DRL 46 31 0 19 Jun 2017
Controllable Invariance through Adversarial Feature Learning Qizhe Xie Zihang Dai Yulun Du Eduard H. Hovy Graham Neubig OOD 78 291 0 31 May 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 62 588 0 22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,517 0 11 Apr 2017
Grad-CAM: Why did you say that? Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra FAtt 61 470 0 22 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 88 1,228 0 16 Nov 2016
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 91 880 0 11 Nov 2016
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 68 534 0 07 Dec 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,467 0 28 May 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 295 7,279 0 20 Dec 2013