InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016

Pieter Abbeel

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

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Title
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization Carmel Rabinovitz Niko A. Grupen Aviv Tamar OOD SSL 28 3 0 20 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 316 0 15 Mar 2021
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement Chi Zhang Zihang Lin Liheng Xu Zongliang Li Wei Tang Yuehu Liu Gaofeng Meng Le Wang Li Li 23 19 0 11 Mar 2021
Multimodal Representation Learning via Maximization of Local Mutual Information Ruizhi Liao Daniel Moyer Miriam Cha Keegan Quigley Seth Berkowitz Steven Horng Polina Golland W. Wells SSL 21 41 0 08 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation Nontawat Tritrong Pitchaporn Rewatbowornwong Supasorn Suwajanakorn 44 108 0 07 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network Lili Pan Peijun Tang Zhiyong Chen Zenglin Xu GAN DRL 18 6 0 05 Mar 2021
IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures Jun Wang Wei Chen Daicong Da M. Fuge R. Rai 33 55 0 03 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 980 0 03 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 40 55 0 02 Mar 2021
Diverse Critical Interaction Generation for Planning and Planner Evaluation Zhao-Heng Yin Lingfeng Sun Liting Sun Masayoshi Tomizuka Wei Zhan 30 21 0 01 Mar 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 38 36 0 21 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 19 27 0 20 Feb 2021
Wasserstein Proximal of GANs A. Lin Wuchen Li Stanley Osher Guido Montúfar GAN 24 46 0 13 Feb 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Dan Su 42 22 0 12 Feb 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 41 123 0 15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 48 170 0 13 Jan 2021
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization Yuyang Wang K. Shimada A. Farimani 21 29 0 12 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information Zhengqi He Taro Toyoizumi 19 1 0 08 Jan 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation Wei Chen Arun Ramamurthy 25 23 0 07 Jan 2021
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 26 8 0 21 Dec 2020
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 28 81 0 16 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization Pedro H. P. Savarese Sunnie S. Y. Kim Michael Maire G. Shakhnarovich David A. McAllester 44 29 0 14 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 22 1 0 13 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 26 20 0 08 Dec 2020
Inductive Bias and Language Expressivity in Emergent Communication Shangmin Guo Yi Ren A. Slowik K. Mathewson 25 8 0 04 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 28 119 0 03 Dec 2020
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks Qi Zheng Dongxiao Zhang GAN DiffM AI4CE 28 26 0 29 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 81 955 0 24 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 19 6 0 24 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 26 4 0 17 Nov 2020
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms Xin Ding Student Member Ieee Yongwei Wang Zuheng Xu William J. Welch F. I. Z. Jane Wang GAN VLM 40 27 0 15 Nov 2020
Simulating Autonomous Driving in Massive Mixed Urban Traffic Yuanfu Luo Panpan Cai Yiyuan Lee David Hsu 19 3 0 11 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 35 237 0 06 Nov 2020
Video Generative Adversarial Networks: A Review Nuha Aldausari Arcot Sowmya Nadine Marcus Gelareh Mohammadi EGVM 21 102 0 04 Nov 2020
Extended Missing Data Imputation via GANs for Ranking Applications Grace Deng Cuize Han David S. Matteson SyDa 28 8 0 04 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Improving seasonal forecast using probabilistic deep learning B. Pan G. Anderson André Goncalves Donald D. Lucas C. Bonfils Jiwoo Lee BDL AI4Cl 6 32 0 27 Oct 2020
TAMPC: A Controller for Escaping Traps in Novel Environments Sheng Zhong Zhenyuan Zhang Nima Fazeli Dmitry Berenson 28 7 0 23 Oct 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang Wenzheng Chen Huan Ling Jun Gao Yinan Zhang Antonio Torralba Sanja Fidler DRL 100 138 0 18 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 22 26 0 12 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 28 47 0 09 Oct 2020
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network Yi Wei Zhe Gan Wenbo Li Siwei Lyu Ming-Ching Chang Lefei Zhang Jianfeng Gao Pengchuan Zhang GAN CVBM 27 18 0 03 Oct 2020
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 24 46 0 01 Oct 2020
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks Gašper Beguš GAN 19 13 0 27 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa S. Feizi GAN DRL 30 4 0 24 Sep 2020
Disentangled Neural Architecture Search Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi AI4CE 30 4 0 24 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 20 27 0 18 Sep 2020