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 / 619 papers shown

Title
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation Shuailong Wang Rui Li 21 1 0 26 Mar 2022
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction Inhwan Bae Jin-Hwi Park Hae-Gon Jeon 27 54 0 25 Mar 2022
RareGAN: Generating Samples for Rare Classes Zinan Lin Hao Liang Giulia Fanti Vyas Sekar GAN 11 9 0 20 Mar 2022
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications Somaye Hashemifar C. Iriondo Evan Casey Mohsen Hejrati for Alzheimer's Disease Neuroimaging Initiative OOD MedIm 30 3 0 17 Mar 2022
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning Xiang Chen Zhe-Cheng Fan Yufeng Li Longgang Dai Caihua Kong Zhuoran Zheng Yufeng Huang Yufeng Li 27 44 0 15 Mar 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 35 32 0 14 Mar 2022
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey Shancong Mou Mengsi Cao Zhendong Hong Ping-Chia Huang Jiulong Shan Jianjun Shi 19 3 0 03 Mar 2022
On generating parametrised structural data using conditional generative adversarial networks G. Tsialiamanis D. Wagg N. Dervilis K. Worden GAN 25 2 0 03 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 25 29,982 0 01 Mar 2022
Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations Muhammad Azmi Umer K. N. Junejo Muhammad Taha Jilani A. Mathur AI4CE 19 89 0 24 Feb 2022
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty Wei Chen Doksoo Lee O. Balogun Wei Chen AI4CE 18 11 0 21 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 33 0 0 19 Feb 2022
Discriminability-enforcing loss to improve representation learning Florinel-Alin Croitoru Diana-Nicoleta Grigore Radu Tudor Ionescu FaML 24 1 0 14 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 25 21 0 14 Feb 2022
Multi-level Latent Space Structuring for Generative Control Oren Katzir Vicky Perepelook Dani Lischinski Daniel Cohen-Or 27 4 0 11 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 17 1 0 10 Feb 2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning Naman Shah Siddharth Srivastava 25 18 0 02 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
DOM-LM: Learning Generalizable Representations for HTML Documents Xiang Deng Prashant Shiralkar Colin Lockard Binxuan Huang Huan Sun AI4TS AI4CE 42 37 0 25 Jan 2022
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 29 48 0 27 Dec 2021
3D-aware Image Synthesis via Learning Structural and Textural Representations Yinghao Xu Sida Peng Ceyuan Yang Yujun Shen Bolei Zhou 3DV 16 130 0 20 Dec 2021
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models Alon Jacovi Junyoung Lee Alexander Lerch DRL 18 1 0 20 Dec 2021
List Autoencoder: Towards Deep Learning Based Reliable Transmission Over Noisy Channels Hamid Saber Homayoon Hatami J. Bae 25 6 0 19 Dec 2021
Self-supervised Enhancement of Latent Discovery in GANs Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath S. Sumitra 39 3 0 16 Dec 2021
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation Umut Kocasari Alara Dirik Mert Tiftikci Pinar Yanardag CLIP 15 60 0 15 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 18 17 0 06 Dec 2021
CoNeRF: Controllable Neural Radiance Fields Kacper Kania K. M. Yi Marek Kowalski Tomasz Trzciñski Andrea Tagliasacchi AI4CE 33 77 0 03 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 38 51 0 29 Nov 2021
Gated SwitchGAN for multi-domain facial image translation Xiaokang Zhang Yuanlue Zhu Wenting Chen Wenshuang Liu Linlin Shen CVBM 25 7 0 28 Nov 2021
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model Zipeng Xu Tianwei Lin Hao Tang Fu Li Dongliang He N. Sebe Radu Timofte Luc Van Gool Errui Ding EGVM 38 41 0 26 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 34 12 0 26 Nov 2021
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 39 3 0 25 Nov 2021
Intuitive Shape Editing in Latent Space Tim Elsner Moritz Ibing Victor Czech Julius Nehring-Wirxel Leif Kobbelt 13 7 0 24 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi Ma 25 30 0 12 Nov 2021
Learning Perceptual Concepts by Bootstrapping from Human Queries Andreea Bobu Chris Paxton Wei Yang Balakumar Sundaralingam Yu-Wei Chao Maya Cakmak Dieter Fox SSL 27 17 0 09 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu Sirui Xie Xiaojian Ma Yixin Zhu Ying Nian Wu Song-Chun Zhu OCL 32 42 0 29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 27 40 0 22 Oct 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 22 78 0 21 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Trajectory Prediction with Linguistic Representations Yen-Ling Kuo Xin Huang Andrei Barbu Stephen G. McGill Boris Katz J. Leonard Guy Rosman 31 17 0 19 Oct 2021
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 24 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 19 0 0 29 Sep 2021