Adversarial Autoencoders

18 November 2015

Papers citing "Adversarial Autoencoders"

50 / 353 papers shown

Title
Y-Autoencoders: disentangling latent representations via sequential-encoding Massimiliano Patacchiola P. Fox-Roberts E. Rosten OOD DRL 21 13 0 25 Jul 2019
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions Yulei Niu Hanwang Zhang Zhiwu Lu Shih-Fu Chang ObjD BDL 36 24 0 08 Jul 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 69 542 0 04 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming Liu Serge J. Belongie Bharath Hariharan 3DPC 40 658 0 28 Jun 2019
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities S. Mo N. Zabaras Xiaoqing Shi Jichun Wu 16 43 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
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 30 35 0 19 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991) J. Schmidhuber GAN DRL 27 57 0 11 Jun 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 27 154 0 30 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 22 34 0 28 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 20 36 0 26 May 2019
The Variational InfoMax AutoEncoder Vincenzo Crescimanna Bruce P. Graham DRL 12 3 0 25 May 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information Bo Kang Dario Garcia-Garcia Jefrey Lijffijt Raúl Santos-Rodríguez T. D. Bie 6 4 0 24 May 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 33 53 0 21 May 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 32 9 0 14 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 30 42 0 07 May 2019
Deep Discriminative Clustering Analysis Jianlong Chang Yiwen Guo Lingfeng Wang Gaofeng Meng Shiming Xiang Chunhong Pan 36 49 0 05 May 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 18 258 0 28 Apr 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 20 130 0 26 Apr 2019
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks Md. Akmal Haidar Mehdi Rezagholizadeh 37 52 0 23 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka Arno Solin Arno Solin DRL CVBM 32 15 0 12 Apr 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 30 125 0 10 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features Cicero Nogueira dos Santos Youssef Mroueh Inkit Padhi Pierre Dognin GAN 43 28 0 04 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 23 76 0 02 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 39 571 0 31 Mar 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 37 269 0 29 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 30 499 0 01 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 31 61 0 13 Feb 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation Jonas Löhdefink Andreas Bär Nico M. Schmidt Fabian Hüger Peter Schlicht Tim Fingscheidt 29 15 0 12 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 21 39 0 05 Feb 2019
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation Zihan Ding Xiao-Yang Liu Miao Yin L. Kong GAN 23 27 0 28 Jan 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 13 19 0 27 Jan 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection S. Akçay Amir Atapour-Abarghouei T. Breckon UQCV 44 373 0 25 Jan 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 27 36 0 24 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
Reciprocal Translation between SAR and Optical Remote Sensing Images with Cascaded-Residual Adversarial Networks Shilei Fu F. Xu Yaqiu Jin 28 62 0 24 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 29 55 0 15 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 28 39 0 06 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 27 282 0 04 Jan 2019
Sampling Using Neural Networks for colorizing the grayscale images Wonbong Jang GAN DiffM 11 1 0 27 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 18 46 0 22 Dec 2018
Learning a Probabilistic Model for Diffeomorphic Registration Julian Krebs H. Delingette B. Mailhé N. Ayache Tommaso Mansi DiffM MedIm 28 192 0 18 Dec 2018
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders Ozan Özdenizci Ye Wang T. Koike-Akino Deniz Erdogmus OOD DRL 18 59 0 17 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 16 150 0 17 Dec 2018
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization Zhiwei Wang Yi Lin K. Cheng Xin Yang MedIm 27 29 0 17 Dec 2018
Real-Time Anomaly Detection With HMOF Feature Huihui Zhu B. Liu Guojun Yin Yan Lu Weihai Li Nenghai Yu 31 9 0 12 Dec 2018
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN Shervin Minaee AmirAli Abdolrashidi GAN VLM 21 30 0 12 Dec 2018
Domain-Adaptive Single-View 3D Reconstruction Pedro H. O. Pinheiro Negar Rostamzadeh Sungjin Ahn 36 25 0 04 Dec 2018