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Adversarially Learned Inference

2 June 2016

Aaron Courville

Papers citing "Adversarially Learned Inference"

50 / 749 papers shown

Title
Recursive Chaining of Reversible Image-to-image Translators For Face Aging Ari Heljakka Arno Solin Arno Solin CVBM 53 5 0 14 Feb 2018
Flipped-Adversarial AutoEncoders Jiyi Zhang Hung Dang H. Lee E. Chang GAN 73 4 0 13 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 116 321 0 12 Feb 2018
Coulomb Autoencoders E. Sansone Hafiz Tiomoko Ali Jiacheng Sun DRL 45 1 0 10 Feb 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 96 883 0 09 Feb 2018
Transductive Adversarial Networks (TAN) S. Rowan GAN OOD 28 0 0 08 Feb 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN Xu Chen Jiang Wang Hao Ge GAN 85 14 0 06 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks Maya Kabkab Pouya Samangouei Rama Chellappa GAN 88 79 0 05 Feb 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 83 29 0 04 Feb 2018
Improved Training of Generative Adversarial Networks Using Representative Features Duhyeon Bang Hyunjung Shim GAN 92 33 0 28 Jan 2018
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning Atanas Mirchev Seyed-Ahmad Ahmadi GAN 48 3 0 26 Jan 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 270 1,287 0 12 Jan 2018
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption Peilun Li Xiaodan Liang Daoyuan Jia Eric Xing 100 94 0 05 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative Models A. Jalal Andrew Ilyas C. Daskalakis A. Dimakis AAML 122 174 0 26 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 69 160 0 18 Dec 2017
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks Alexander Sage E. Agustsson Radu Timofte Luc Van Gool GAN 74 62 0 12 Dec 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models Alex Lamb R. Devon Hjelm Yaroslav Ganin Joseph Paul Cohen Aaron Courville Yoshua Bengio GAN 72 13 0 12 Dec 2017
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 132 335 0 12 Dec 2017
Semi-Supervised Learning with IPM-based GANs: an Empirical Study Tom Sercu Youssef Mroueh GAN 72 1 0 07 Dec 2017
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples D. Sun Zhaolin Ren Chongxun Li Hang Su Jun Zhu 99 92 0 06 Dec 2017
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks Sihao Ding Andreas Wallin GAN 30 3 0 06 Dec 2017
Wasserstein Divergence for GANs Jiqing Wu Zhiwu Huang Janine Thoma Dinesh Acharya Luc Van Gool 85 139 0 04 Dec 2017
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories A. Yahi Rami Vanguri Noémie Elhadad Nicholas P. Tatonetti GAN 67 40 0 01 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 80 277 0 30 Nov 2017
Toward Multimodal Image-to-Image Translation Jun-Yan Zhu Richard Y. Zhang Deepak Pathak Trevor Darrell Alexei A. Efros Oliver Wang Eli Shechtman 232 1,359 0 30 Nov 2017
Wasserstein Introspective Neural Networks Kwonjoon Lee Weijian Xu Fan Fan Zhuowen Tu 99 57 0 24 Nov 2017
IVE-GAN: Invariant Encoding Generative Adversarial Networks R. Winter Djork-Arné Clevert GAN 36 0 0 23 Nov 2017
Adversarial Feature Augmentation for Unsupervised Domain Adaptation Riccardo Volpi Pietro Morerio Silvio Savarese Vittorio Murino GAN OOD 118 234 0 23 Nov 2017
Safer Classification by Synthesis William Wang Angelina Wang Aviv Tamar Xi Chen Pieter Abbeel 74 41 0 22 Nov 2017
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks Ali Diba Vivek Sharma Rainer Stiefelhagen Luc Van Gool GAN 76 6 0 22 Nov 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 89 223 0 21 Nov 2017
Asymmetric Variational Autoencoders Guoqing Zheng Yiming Yang J. Carbonell BDL 31 2 0 20 Nov 2017
Bidirectional Conditional Generative Adversarial Networks Ayush Jaiswal Wael AbdAlmageed Yue Wu Premkumar Natarajan GAN 75 36 0 20 Nov 2017
Learning Compositional Visual Concepts with Mutual Consistency Yunye Gong Srikrishna Karanam Ziyan Wu Kuan-Chuan Peng Jan Ernst P. Doerschuk CoGe GAN 78 10 0 16 Nov 2017
Global versus Localized Generative Adversarial Nets Guo-Jun Qi Liheng Zhang Hao Hu Marzieh Edraki Jingdong Wang Xian-Sheng Hua GAN 92 82 0 16 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview Yongjun Hong Uiwon Hwang Jaeyoon Yoo Sungroh Yoon GAN 131 159 0 16 Nov 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 97 140 0 15 Nov 2017
Adversarial Information Factorization Antonia Creswell Yumnah Mohamied B. Sengupta Anil A Bharath CVBM GAN 75 23 0 14 Nov 2017
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 104 78 0 14 Nov 2017
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 67 117 0 14 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 184 3,015 0 08 Nov 2017
Theoretical limitations of Encoder-Decoder GAN architectures Sanjeev Arora Andrej Risteski Yi Zhang GAN AI4CE 59 15 0 07 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 94 286 0 05 Nov 2017
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 179 1,058 0 05 Nov 2017
A Classification-Based Study of Covariate Shift in GAN Distributions Shibani Santurkar Ludwig Schmidt Aleksander Madry GAN 83 16 0 02 Nov 2017
Structured Generative Adversarial Networks Zhijie Deng Huatian Zhang Xiaodan Liang Luona Yang Shizhen Xu Jun Zhu Eric Xing GAN 70 53 0 02 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 120 523 0 02 Nov 2017
Data Augmentation in Emotion Classification Using Generative Adversarial Networks Xinyue Zhu Yifan Liu Zengchang Qin Jiahong Li GAN 115 119 0 02 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 98 242 0 01 Nov 2017
Flexible Prior Distributions for Deep Generative Models Yannic Kilcher Aurelien Lucchi Thomas Hofmann AI4CE 21 1 0 31 Oct 2017