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Learning Functional Causal Models with Generative Neural Networks

15 September 2017

Papers citing "Learning Functional Causal Models with Generative Neural Networks"

50 / 106 papers shown

Title
Learning to Compose Neural Networks for Question Answering Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein NAI KELM BDL CoGe 99 568 0 07 Jan 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,342 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning Justin Johnson A. Karpathy Li Fei-Fei VLM 131 1,170 0 24 Nov 2015
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 108 1,620 0 20 Nov 2015
Compact Bilinear Pooling Yang Gao Oscar Beijbom Ning Zhang Trevor Darrell 83 791 0 19 Nov 2015
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering Kan Chen Jiang Wang Liang-Chieh Chen Haoyuan Gao Wenyuan Xu Ram Nevatia 80 288 0 18 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction Hyeonwoo Noh Paul Hongsuck Seo Bohyung Han OOD 78 327 0 18 Nov 2015
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering Huijuan Xu Kate Saenko 86 763 0 17 Nov 2015
Action Recognition using Visual Attention Shikhar Sharma Ryan Kiros Ruslan Salakhutdinov 94 666 0 12 Nov 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 139 1,077 0 09 Nov 2015
Generation and Comprehension of Unambiguous Object Descriptions Junhua Mao Jonathan Huang Alexander Toshev Oana-Maria Camburu Alan Yuille Kevin Patrick Murphy ObjD 138 1,359 0 07 Nov 2015
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 139 1,200 0 21 Sep 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier 93 177 0 17 Aug 2015
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos Serena Yeung Olga Russakovsky Ning Jin Mykhaylo Andriluka Greg Mori Li Fei-Fei VLM 97 439 0 21 Jul 2015
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 98 130 0 09 Jul 2015
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 233 5,509 0 03 May 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving Chenyi Chen Ari Seff A. Kornhauser Jianxiong Xiao 102 1,765 0 01 May 2015
Becoming the Expert - Interactive Multi-Class Machine Teaching Edward Johns Oisin Mac Aodha Gabriel J. Brostow 82 75 0 28 Apr 2015
Automated Analysis and Prediction of Job Interview Performance Iftekhar Naim Md. Iftekhar Tanveer D. Gildea Mohammed Ehsan Hoque 68 123 0 14 Apr 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 350 10,083 0 10 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 119 847 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 162 1,283 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 254 4,681 0 21 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij J. Peters Dominik Janzing Jakob Zscheischler Bernhard Schölkopf CML 146 138 0 11 Dec 2014
CIDEr: Consensus-based Image Description Evaluation Ramakrishna Vedantam C. L. Zitnick Devi Parikh 306 4,511 0 20 Nov 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 262 6,036 0 17 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 264 10,438 0 06 Nov 2014
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet Matthias Kümmerer Lucas Theis Matthias Bethge FAtt 122 407 0 04 Nov 2014
Explain Images with Multimodal Recurrent Neural Networks Junhua Mao Wenyuan Xu Yi Yang Jiang Wang Alan Yuille VLM GAN 115 385 0 04 Oct 2014
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Mateusz Malinowski Mario Fritz 223 698 0 01 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 96 1,256 0 08 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 317 7,321 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 603 15,907 0 12 Nov 2013
On the Bayes-optimality of F-measure maximizers Willem Waegeman Krzysztof Dembczyñski Arkadiusz Jachnik Weiwei Cheng Eyke Hullermeier 439 105 0 17 Oct 2013
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 133 325 0 06 Oct 2013
Challenges in Representation Learning: A report on three machine learning contests Ian Goodfellow D. Erhan P. Carrier Aaron Courville M. Berk Mirza ... Jingjing Xie Lukasz Romaszko Bing Xu Chuang Zhang Yoshua Bengio CVBM 140 1,620 0 01 Jul 2013
Structural Intervention Distance (SID) for Evaluating Causal Graphs J. Peters Peter Buhlmann CML 93 40 0 05 Jun 2013
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation Thomas Verma Judea Pearl CML 103 297 0 13 Mar 2013
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 206 448 0 20 Feb 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 204 5,361 0 21 Nov 2012
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 132 606 0 14 Nov 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,460 0 24 Jun 2012
On the Identifiability of the Post-Nonlinear Causal Model Kun Zhang Aapo Hyvarinen CML 211 564 0 09 May 2012
Inferring deterministic causal relations P. Daniušis Dominik Janzing Joris Mooij Jakob Zscheischler Bastian Steudel Kun Zhang Bernhard Schölkopf CML 122 192 0 15 Mar 2012