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 / 655 papers shown

Title
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models P. Gyawali Rudra Saha Linwei Wang V. Veeravasarapu M. Singh DiffM DRL 33 0 0 26 Oct 2019
Speaker diarization using latent space clustering in generative adversarial network Monisankha Pal Manoj Kumar Raghuveer Peri Tae Jin Park So Hyun Kim C. Lord Somer Bishop Shrikanth Narayanan 14 20 0 24 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
Bridging the Gap Between $f$ -GANs and Wasserstein GANs Jiaming Song Stefano Ermon 22 40 0 22 Oct 2019
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs Niklas Stoehr Emine Yilmaz Marc Brockschmidt Jan Stuehmer BDL CML DRL 27 14 0 12 Oct 2019
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning Yue Gao Yuan Guo Zheng Lian Yingmin Tang Jianguo Xiao GAN 38 101 0 11 Oct 2019
Straight-Through Estimator as Projected Wasserstein Gradient Flow Pengyu Cheng YooJung Choi Yitao Liang Dinghan Shen Ricardo Henao Mathias Niepert 24 14 0 05 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Generative One-Shot Face Recognition Zhengming Ding Yandong Guo Lei Zhang Y. Fu VLM GAN CVBM 27 10 0 28 Sep 2019
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini OOD 24 53 0 26 Sep 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 12 6 0 25 Sep 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE Tristan Bepler Ellen D. Zhong Kotaro Kelley E. Brignole Bonnie Berger CoGe DRL 19 74 0 25 Sep 2019
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training Chunpeng Wu W. Wen Yiran Chen H. Li GAN 30 2 0 25 Sep 2019
Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu GAN 21 18 0 25 Sep 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation Arna Ghosh Richard Y. Zhang P. Dokania Oliver Wang Alexei A. Efros Philip Torr Eli Shechtman VLM DiffM 19 130 0 24 Sep 2019
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning Cong Hu Zhenhua Feng Xiaojun Wu J. Kittler CVBM GAN DRL 21 11 0 19 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann L. Varshney Caiming Xiong R. Socher AI4CE 57 1,236 0 11 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard Turner Sebastian Nowozin DRL BDL CoGe 117 25 0 05 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang Jean Michel D. Sellier Yoshua Bengio DiffM 3DV 25 66 0 03 Sep 2019
Maximizing Mutual Information for Tacotron Peng Liu Xixin Wu Shiyin Kang Guangzhi Li Dan Su Dong Yu 22 16 0 30 Aug 2019
Spectral Regularization for Combating Mode Collapse in GANs Kanglin Liu Wenming Tang Fei Zhou Guoping Qiu GAN DRL 33 81 0 29 Aug 2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation Junlin Yang Nicha Dvornek Fan Zhang Juntang Zhuang Julius Chapiro Mingde Lin James S. Duncan FedML OOD MedIm 32 17 0 27 Aug 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 18 93 0 26 Aug 2019
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S. Berchuck Felipe A. Medeiros S. Mukherjee BDL 26 3 0 24 Aug 2019
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites Alexey Tikhonov Viacheslav Shibaev Aleksander Nagaev Aigul Nugmanova Ivan P. Yamshchikov 31 37 0 19 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions Jogendra Nath Kundu Maharshi Gor Dakshit Agrawal R. Venkatesh Babu GAN 25 11 0 11 Aug 2019
Image Enhancement by Recurrently-trained Super-resolution Network Saem Park Nojun Kwak SupR 28 1 0 26 Jul 2019
Y-Autoencoders: disentangling latent representations via sequential-encoding Massimiliano Patacchiola P. Fox-Roberts E. Rosten OOD DRL 21 13 0 25 Jul 2019
Lifelong GAN: Continual Learning for Conditional Image Generation Mengyao Zhai Lei Chen Frederick Tung Jiawei He Megha Nawhal Greg Mori CLL 36 180 0 23 Jul 2019
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning Jiancheng Ni Shanghang Zhang Haiyong Xie GAN 17 76 0 12 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning Majed El Helou Sabine Süsstrunk VLM 21 102 0 05 Jul 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks V. Kosaraju Amir Sadeghian Roberto Martín-Martín Ian Reid S. Hamid Rezatofighi Silvio Savarese 22 592 0 04 Jul 2019
Tuning-Free Disentanglement via Projection Yue Bai L. Duan 21 3 0 27 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 22 28 0 25 Jun 2019
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias Ryo Nakashima Ryo Ozaki T. Taniguchi 21 6 0 21 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 11 193 0 19 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders Yin-Jyun Luo Kat R. Agres Dorien Herremans 16 46 0 19 Jun 2019
Learning Part Generation and Assembly for Structure-aware Shape Synthesis Jun Li Chengjie Niu Kai Xu 3DPC 19 74 0 16 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models N. Detlefsen Søren Hauberg CoGe DRL 22 47 0 11 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 133 0 07 Jun 2019
Style Generator Inversion for Image Enhancement and Animation Aviv Gabbay Yedid Hoshen 16 17 0 05 Jun 2019
Big-Data Clustering: K-Means or K-Indicators? Feiyu Chen Yuchen Yang Liwei Xu Taiping Zhang Yin Zhang 16 4 0 03 Jun 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 49 37 0 29 May 2019
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks Hideaki Hayashi K. Abe S. Uchida GAN 22 53 0 29 May 2019
Image-to-Image Translation with Multi-Path Consistency Regularization Jianxin Lin Yingce Xia Yijun Wang Tao Qin Zhibo Chen 34 18 0 29 May 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations J. Livezey Ahyeon Hwang Jacob Yeung K. Bouchard 36 0 0 23 May 2019