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"

50 / 650 papers shown

Title
Collaging Class-specific GANs for Semantic Image Synthesis Yuheng Li Yijun Li Jingwan Lu Eli Shechtman Yong Jae Lee Krishna Kumar Singh 17 31 0 08 Oct 2021
Cognitive Coding of Speech Reza Lotfidereshgi P. Gournay 35 5 0 08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 302 0 07 Oct 2021
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings Mariah L. Schrum Erin K. Hedlund Matthew C. Gombolay 26 5 0 07 Oct 2021
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion Zihang Lai Sifei Liu Alexei A. Efros Xiaolong Wang VGen 36 31 0 06 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 47 2 0 06 Oct 2021
Interpreting intermediate convolutional layers in unsupervised acoustic word classification Gašper Beguš Alan Zhou FAtt SSL 30 5 0 05 Oct 2021
Designing Complex Experiments by Applying Unsupervised Machine Learning A. Glushkovsky 21 0 0 29 Sep 2021
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models Qianmengke Zhao Ye Wang Qun Liu AAML VLM XAI 16 0 0 28 Sep 2021
Quantifying point cloud realism through adversarially learned latent representations Larissa T. Triess David Peter Stefan A. Baur J. Marius Zöllner 3DPC 32 2 0 24 Sep 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 27 5 0 18 Sep 2021
From Heatmaps to Structural Explanations of Image Classifiers Li Fuxin Zhongang Qi Saeed Khorram Vivswan Shitole Prasad Tadepalli Minsuk Kahng Alan Fern XAI FAtt 23 4 0 13 Sep 2021
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs Xuerong Xiao Swetava Ganguli Vipul Pandey GAN 26 1 0 11 Sep 2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network Junkang Wu Wentao Shi Xuezhi Cao Jiawei Chen Wenqiang Lei Fuzheng Zhang Wei Wu Xiangnan He 24 66 0 22 Aug 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 24 91 0 20 Aug 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 23 55 0 17 Aug 2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Zhenyu He Linchao Bao SLR 41 101 0 15 Aug 2021
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions Andrea Burns Aaron Sarna Dilip Krishnan Aaron Maschinot CoGe DRL SSL 38 4 0 14 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei Chenxi Liu Silvio Savarese 42 33 0 13 Aug 2021
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network Sakib Shahriar GAN 42 101 0 09 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Chandrajit L. Bajaj A. Roy Haoran Zhang BDL DRL 26 1 0 25 Jul 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Stock price prediction using BERT and GAN Priyank Sonkiya Vikas Bajpai Anukriti Bansal AIFin 22 37 0 18 Jul 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri Or Patashnik Yuval Alaluf Daniel Cohen-Or 26 37 0 15 Jul 2021
Semantic and Geometric Unfolding of StyleGAN Latent Space Mustafa Shukor Xu Yao B. Damodaran Pierre Hellier GAN 32 4 0 09 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 27 70 0 25 Jun 2021
3D human tongue reconstruction from single "in-the-wild" images Stylianos Ploumpis Stylianos Moschoglou Vasileios Triantafyllou S. Zafeiriou 3DH 19 6 0 23 Jun 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering Jie Xu Yazhou Ren Huayi Tang X. Pu Xiaofeng Zhu Ming Zeng Lifang He DRL 23 106 0 21 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 35 22 0 07 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 30 56 0 29 May 2021
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi OCL 38 53 0 17 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting Yang Chen Dustin J. Kempton Azim Ahmadzadeh R. Angryk AI4TS 22 12 0 16 May 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation Hojjat Navidan P. Moshiri M. Nabati Reza Shahbazian S. Ghorashi V. Shah-Mansouri David Windridge 13 83 0 10 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 27 260 0 05 May 2021
DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing Canqun Xiang Zhennan Wang Wenbin Zou Chen Xu OCL 19 1 0 30 Apr 2021
MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov Michael Gharbi Matthew Fisher Vitor Campagnolo Guizilini Alexei A. Efros Justin Solomon SSL OCL 74 37 0 29 Apr 2021
Semantic similarity metrics for learned image registration Steffen Czolbe Oswin Krause Aasa Feragen 25 14 0 20 Apr 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation Jiteng Mu Weichao Qiu Adam Kortylewski Alan Yuille Nuno Vasconcelos Xiaolong Wang 27 106 0 15 Apr 2021
Pseudo-supervised Deep Subspace Clustering Juncheng Lv Zhao Kang Xiao Lu Zenglin Xu 32 111 0 08 Apr 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 51 38 0 07 Apr 2021
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains Utkarsh Ojha Krishna Kumar Singh Yong Jae Lee OOD 24 6 0 05 Apr 2021
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation Seunghun Lee Sunghyun Cho Sunghoon Im DRL 30 59 0 24 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 39 29 0 22 Mar 2021
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