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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
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 103 11 0 29 Mar 2024
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 114 83 0 17 Mar 2020
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach 83 423 0 15 Feb 2018
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies Jaehun Kim Julián Urbano Cynthia C. S. Liem Alan Hanjalic 125 48 0 12 Feb 2018
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos Hugo Jair Escalante Heysem Kaya A. A. Salah Sergio Escalera Yağmur Güçlütürk ... Furkan Gürpinar Achmadnoer Sukma Wicaksana Cynthia C. S. Liem Marcel van Gerven R. Lier 46 61 0 02 Feb 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation Lex Fridman Jack Terwilliger Benedikt Jenik 70 24 0 09 Jan 2018
Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment Chelsea Barabas Karthik Dinakar Joichi Ito M. Virza Jonathan Zittrain 119 144 0 21 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues Lu Chi Yadong Mu LLMSV 51 110 0 12 Aug 2017
Supervising Neural Attention Models for Video Captioning by Human Gaze Data Youngjae Yu Jongwook Choi Yeonhwa Kim Kyung Yoo Sang-Hun Lee Gunhee Kim 61 69 0 19 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 293 2,271 0 24 Jun 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 254 4,281 0 22 Jun 2017
Predicting the Driver's Focus of Attention: the DR(eye)VE Project Andrea Palazzi Davide Abati Simone Calderara Francesco Solera Rita Cucchiara 82 256 0 10 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 158 1,526 1 19 Apr 2017
Deep Reinforcement Learning-based Image Captioning with Embedding Reward Zhou Ren Xiaoyu Wang Ning Zhang Xutao Lv Li Li 65 324 0 12 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,884 0 10 Apr 2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention Jinkyu Kim John F. Canny FAtt XAI OOD MILM CML 85 336 0 30 Mar 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 136 591 0 10 Mar 2017
Causal Discovery Using Proxy Variables Mateo Rojas-Carulla Marco Baroni David Lopez-Paz CML 49 15 0 23 Feb 2017
Attentive Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Bernt Schiele Trevor Darrell Marcus Rohrbach AAML 74 79 0 14 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 157 827 0 04 Dec 2016
Self-critical Sequence Training for Image Captioning Steven J. Rennie E. Marcheret Youssef Mroueh Jerret Ross Vaibhava Goel 109 1,892 0 02 Dec 2016
Improved Image Captioning via Policy Gradient optimization of SPIDEr Siqi Liu Zhenhai Zhu Ning Ye S. Guadarrama Kevin Patrick Murphy 168 446 0 01 Dec 2016
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model Marcella Cornia Lorenzo Baraldi G. Serra Rita Cucchiara 94 551 0 29 Nov 2016
VisualBackProp: efficient visualization of CNNs Mariusz Bojarski A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller Karol Zieba FAtt 67 74 0 16 Nov 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 189 406 0 20 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 335 20,110 0 07 Oct 2016
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition Yağmur Güçlütürk Umut Güçlü Marcel van Gerven R. Lier CVBM 43 97 0 16 Sep 2016
Towards Transparent AI Systems: Interpreting Visual Question Answering Models Yash Goyal Akrit Mohapatra Devi Parikh Dhruv Batra 55 74 0 31 Aug 2016
Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan J. Bryson Arvind Narayanan 223 2,678 0 25 Aug 2016
Top-down Neural Attention by Excitation Backprop Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff 92 949 0 01 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 114 3,156 0 21 Jul 2016
From Dependence to Causation David Lopez-Paz OOD CML 161 26 0 12 Jul 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 67 1,903 0 28 Jun 2016
Analyzing the Behavior of Visual Question Answering Models Aishwarya Agrawal Dhruv Batra Devi Parikh 93 314 0 23 Jun 2016
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das Harsh Agrawal C. L. Zitnick Devi Parikh Dhruv Batra 109 466 0 11 Jun 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 103 252 0 07 Jun 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 314 1,467 0 06 Jun 2016
Adversarial Feature Learning Jiasen Lu Philipp Krahenbuhl Trevor Darrell GAN 138 1,612 0 31 May 2016
Stacking With Auxiliary Features Nazneen Rajani Raymond J. Mooney 28 14 0 27 May 2016
Discovering Causal Signals in Images David Lopez-Paz Robert Nishihara Soumith Chintala Bernhard Schölkopf Léon Bottou CML 54 226 0 26 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 755 37,895 0 20 May 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 209 3,149 0 17 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 206 843 0 17 May 2016
Modern Physiognomy: An Investigation on Predicting Personality Traits and Intelligence from the Human Face Rizhen Qin Wei Gao Huarong Xu Zhanyi Hu CVBM 33 29 0 26 Apr 2016
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 97 621 0 28 Mar 2016
Recurrent Mixture Density Network for Spatiotemporal Visual Attention Loris Bazzani Hugo Larochelle Lorenzo Torresani 73 135 0 27 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 84 263 0 08 Feb 2016
Conditional distribution variability measures for causality detection José A. R. Fonollosa CML 38 44 0 25 Jan 2016