Adversarial Autoencoders

18 November 2015

Papers citing "Adversarial Autoencoders"

50 / 353 papers shown

Title
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Laetitia Mottet Yike Guo Christopher C. Pain AI4CE 25 8 0 13 Apr 2021
Deep Recursive Embedding for High-Dimensional Data Zixia Zhou Yuanyuan Wang B. Lelieveldt Qian Tao 24 7 0 12 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 70 507 0 14 Jan 2021
Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation Manel Mateos Alejandro G. González X. Sevillano GAN AI4CE 14 1 0 04 Jan 2021
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks Chenchen Zhao Hao Li AAML 25 0 0 21 Dec 2020
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 20 24 0 02 Dec 2020
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer Mattia Segu Margarita Grinvald Roland Siegwart Federico Tombari 3DPC 34 21 0 26 Nov 2020
Multi-Domain Adversarial Feature Generalization for Person Re-Identification Shan Lin Chang-Tsun Li Alex C. Kot OOD 27 56 0 25 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 19 6 0 24 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 11 0 0 11 Nov 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo Yueming Lyu Yuan. Yuan Ivor W. Tsang 21 4 0 29 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 14 0 0 19 Oct 2020
Plug and Play Autoencoders for Conditional Text Generation Florian Mai Nikolaos Pappas Ivan Montero Noah A. Smith U. Washington 25 36 0 06 Oct 2020
Deep Learning of Individual Aesthetics Jon McCormack Andy Lomas 19 28 0 24 Sep 2020
Generative Model without Prior Distribution Matching Cong Geng Jia Wang L. Chen Zhiyong Gao GAN 177 1 0 23 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 28 204 0 16 Sep 2020
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization Hanjiang Hu Hesheng Wang Zhe Liu Weidong Chen 32 27 0 16 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 35 125 0 11 Sep 2020
ODIN: Automated Drift Detection and Recovery in Video Analytics Abhijit Suprem Joy Arulraj C. Pu J. E. Ferreira 23 12 0 09 Sep 2020
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification Zeyu Cao Xiaorun Li Liaoying Zhao SSL 13 31 0 02 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 29 1 0 31 Aug 2020
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations Alhabib Abbas Y. Andreopoulos MoE 19 18 0 21 Aug 2020
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang Alireza Makhzani Yanshuai Cao Roger C. Grosse EGVM DRL 8 27 0 15 Aug 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 26 58 0 29 Jul 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases Senthil Purushwalkam Abhinav Gupta SSL 31 213 0 28 Jul 2020
Learning Disentangled Representations with Latent Variation Predictability Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 22 26 0 25 Jul 2020
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition Ariel Ruiz-Garcia Vasile Palade M. Elshaw M. Awad CVBM GAN 32 8 0 19 Jul 2020
Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 30 71 0 18 Jul 2020
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation Xingchao Peng Yichen Li Kate Saenko 22 32 0 17 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Facial Expression Editing with Continuous Emotion Labels Alexandra Lindt Pablo V. A. Barros Henrique Siqueira S. Wermter CVBM 22 28 0 22 Jun 2020
Feature Alignment and Restoration for Domain Generalization and Adaptation Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen OOD 31 39 0 22 Jun 2020
Learning from Demonstration with Weakly Supervised Disentanglement Yordan V. Hristov S. Ramamoorthy DRL 24 9 0 16 Jun 2020
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition Zongyan Han Zhenyong Fu Jian Yang 23 86 0 16 Jun 2020
Cardiac Segmentation with Strong Anatomical Guarantees Nathan Painchaud Youssef Skandarani Thierry Judge Olivier Bernard A. Lalande Pierre-Marc Jodoin 36 99 0 15 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 24 27 0 15 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 36 67 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 52 1,587 0 15 Jun 2020
Disentanglement for Discriminative Visual Recognition Xiaofeng Liu DRL 24 6 0 14 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 32 99 0 12 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-man Cheung MedIm 18 36 0 09 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 26 12 0 01 Jun 2020
General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang Bing Bai Ye Lin Jian Liang Kun Bai Fei Wang 35 35 0 27 May 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 27 51 0 21 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 32 83 0 18 May 2020
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions Tariq Daouda Reda Chhaibi Prudencio Tossou A. Villani 22 2 0 16 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 34 16 0 05 May 2020