Deep Learning Publication Navigator - subtopic: generative

Year TitleAuthor
2017   Generative models of part-structured 3D objects  C Nash, CKI Williams
2017   SalGAN: Visual Saliency Prediction with Generative Adversarial Networks  J Pan, C Canton, K McGuinness, NE O'Connor
2017   Semi-supervised Semantic Segmentation using Generative Adversarial Networks  THP Jensen
2017   Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks  J Son, SJ Park, KH Jung
2017   Deep Semantic Hashing with Generative Adversarial Networks  Z Qiu, Y Pan, T Yao, T Mei
2017   Towards Understanding the Dynamics of Generative Adversarial Networks  J Li, A Madry, J Peebles, L Schmidt
2017   Supplementary Material for Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks  L Mescheder, S Nowozin, A Geiger
2017   Dual Discriminator Generative Adversarial Nets  TD Nguyen, T Le, H Vu, D Phung
2017   Effective data generation for imbalanced learning using Conditional Generative Adversarial Networks  G Douzas, F Bacao
2017   Deep kernel mean embeddings for generative modeling and feedforward style transfer  TQ Chen
2017   Sharpness-aware Low dose CT denoising using conditional generative adversarial network  X Yi, P Babyn
2017   VIGAN: Missing View Imputation with Generative Adversarial Networks  C Shang, A Palmer, J Sun, KS Chen, J Lu, J Bi
2017   Towards the Automatic Anime Characters Creation with Generative Adversarial Networks  Y Jin, J Zhang, M Li, Y Tian, H Zhu, Z Fang
2017   Ten Classes of Image Recognition Using Generative Adversarial  C Chan
2017   GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks  S Yu, H Chen, EBG Reyes, A Center, N Poh
2017   On the Effects of Batch and Weight Normalization in Generative Adversarial Networks  S Xiang, H Li
2017   Optimal Transport based Training of Generative Neural Networks  SP Singh
2017   A modified version of Helmholtz Machine by using an Restricted Boltzmann Machine to model the generative probability of the top layer  J Hu, J Zhang, N Ji, C Zhang
2017   Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network  N Souly, C Spampinato, M Shah
2017   Semi Supervised Semantic Segmentation Using Generative Adversarial Network  N Souly, C Spampinato, M Shah
2017   A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks  DI Helgøy, M Lund
2017   Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks  L Han, Z Yin
2017   Abnormal Event Detection In Videos Using Generative Adversarial Nets  M Ravanbakhsh, M Nabi, E Sangineto, L Marcenaro
2017   Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss  Q Yang, P Yan, Y Zhang, H Yu, Y Shi, X Mou, MK Kalra
2017   Controllable Generative Adversarial Network  M Lee, J Seok
2017   Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow  B Bonev, L Prantl, N Thuerey
2017   Generative Moment Matching Autoencoder with Perceptual Loss  MA Kiasari, DS Moirangthem, M Lee 
2017   Metric Learning-based Generative Adversarial Network  ZY Dou 
2017   Sharp and Real Image Super-Resolution Using Generative Adversarial Network  D Zhang, J Shao, G Hu, L Gao 
2017   Generating Low-Rank Textures via Generative Adversarial Network  S Zhao, J Li 
2017   Discovering Order in Unordered Datasets: Generative Markov Networks  YHH Tsai, H Zhao, R Salakhutdinov, N Jojic 
2017   Malware Detection Using Deep Transferred Generative Adversarial Networks  JY Kim, SJ Bu, SB Cho 
2017   Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal  X Hou, Y Li, T Li 
2017   Enabling Imagination: Generative Adversarial Network-Based Object Finding in Robotic Tasks  H Che, B Hu, B Ding, H Wang 
2017   Geometrical Insights for Implicit Generative Modeling  L Bottou, M Arjovsky, D Lopez
2017   Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning  F Tom, D Sheet 
2017   Multi-scale multi-class conditional generative adversarial network for handwritten character generation  J Liu, C Gu, J Wang, G Youn, JU Kim 
2017   Age Estimation Method Based on Generative Adversarial Networks  XIN NING, W LI, L SUN 
2017   Generating Realistic Chinese Handwriting Characters via Deep Convolutional Generative Adversarial Networks  C Gu, J Liu, L Kong 
2017   IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models  J Wang, L Yu, W Zhang, Y Gong, Y Xu, B Wang
2017   Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets  K Hausman, Y Chebotar, S Schaal, G Sukhatme, J Lim
2017   Stabilizing Training of Generative Adversarial Networks through Regularization  K Roth, A Lucchi, S Nowozin, T Hofmann
2017   Generative Adversarial Networks Conditioned by Brain Signals  S Palazzo, C Spampinato, I Kavasidis, D Giordano
2017   TripletGAN: Training Generative Model with Triplet Loss  G Cao, Y Yang, J Lei, C Jin, Y Liu, M Song 
2017   Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks  Y Ke, M Zhang, J Liu, T Su 
2017   Data Augmentation Generative Adversarial Networks  A Antoniou, A Storkey, H Edwards 
2017   Disease Prediction from Electronic Health Records Using Generative Adversarial Networks  U Hwang, S Choi, S Yoon 
2017   Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification  Z He, H Liu, Y Wang, J Hu 
2017   Multiplicative Noise Channel in Generative Adversarial Networks  X Di, P Yu 
2017   Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks  X Di, P Yu 
2017   Face Generation for Low-Shot Learning Using Generative Adversarial Networks  J Choe, S Park, K Kim, J Hyun Park, D Kim, H Shim 
2017   Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks  N Bayramoglu, M Kaakinen, L Eklund, J Heikkila 
2017   Creating Roadmaps in Aerial Images With Generative Adversarial Networks and Smoothing-Based Optimization  D Costea, A Marcu, E Slusanschi, M Leordeanu 
2017   Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in …  A Lahiri, K Ayush, PK Biswas, P Mitra
2017   Temporal Generative Adversarial Nets with Singular Value Clipping  M Saito, E Matsumoto, S Saito
2017   Capturing the diversity of biological tuning curves using generative adversarial networks  T Arakaki, G Barello, Y Ahmadian
2017   Domain Randomization and Generative Models for Robotic Grasping  J Tobin, W Zaremba, P Abbeel 
2017   A Geometric View of Optimal Transportation and Generative Model  N Lei, K Su, L Cui, ST Yau, DX Gu 
2017   Face Transfer with Generative Adversarial Network  R Xu, Z Zhou, W Zhang, Y Yu 
2017   CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning  Y Peng, J Qi, Y Yuan 
2017   Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution  D Mahapatra 
2017   Generative Adversarial Reservoirs for natural video prediction  JJ Hintz
2017   An efficient quantum algorithm for generative machine learning  X Gao, Z Zhang, L Duan 
2017   Visually-Aware Fashion Recommendation and Design with Generative Image Models  WC Kang, C Fang, Z Wang, J McAuley 
2017   ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network  C Zhang, X Ouyang, P Patras 
2017   Robust Speech Recognition Using Generative Adversarial Networks  A Sriram, H Jun, Y Gaur, S Satheesh 
2017   Generative Adversarial Networks for Change Detection in Multispectral Imagery  M Gong, X Niu, P Zhang, Z Li 
2017   Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data  D Marmanis, W Yao, F Adam, M Datcu, P Reinartz 
2017   Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System  J Zhang, Z Shi 
2017   A Study of Cross-domain Generative Models applied to Cartoon Series  ET Hassan, DJ Crandall
2017   Improving image generative models with human interactions  AK Lampinen, D So, D Eck, F Bertsch
2017   Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets  L Zhang, A Gooya, AF Frangi
2017   A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders  A Mishra, M Reddy, A Mittal, HA Murthy
2017   Guiding the training of Generative Adversarial Networks  S Selseng
2017   Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks  TM Quan, T Nguyen
2017   Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis  D Mahapatra, B Bozorgtabar, S Hewavitharanage
2017   Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks  Y Hu, E Gibson, T Vercauteren, HU Ahmed
2017   OT-GAN: Optimal Transport based Generative Adversarial Network  SP Singh
2017   Generative Adversarial Dehaze Mapping Nets  C Li, X Zhao, Z Zhang, S Du 
2017   Towards Consistency of Adversarial Training for Generative Models  M Sinn, A Rawat
2017   Continual Learning with Deep Generative Replay  H Shin, JK Lee, J Kim, J Kim
2017   Approximation and Convergence Properties of Generative Adversarial Learning  S Liu, O Bousquet, K Chaudhuri
2017   Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network  E Laloy, R Hérault, D Jacques, N Linde
2017   OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning  P Henderson, WD Chang, PL Bacon, D Meger
2017   MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks  HW Dong, WY Hsiao, LC Yang, YH Yang
2017   Triangle Generative Adversarial Networks  Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li
2017   Class-Splitting Generative Adversarial Networks  GL Grinblat, LC Uzal, PM Granitto
2017   A study of generative adversarial networks and possible extensions of GANs  T Zhou
2017   Taking the models back to music practice: evaluating generative transcription models built using deep learning  BL Sturm, O Ben
2017   Frame Interpolation Using Generative Adversarial Networks  M Koren, K Menda, A Sharma
2017   Photoshop 2.0: Generative Adversarial Networks for Photo Editing  HR Roman, B Yang, M Zhang
2017   Generative OpenMax for Multi-Class Open Set Classification  ZY Ge, S Demyanov, Z Chen, R Garnavi
2017   Linear Discriminant Generative Adversarial Networks  Z Sun, M Ozay, T Okatani
2017   Likelihood Estimation for Generative Adversarial Networks  H Eghbal
2017   Using Generative Adversarial Networks to Design Shoes: The Preliminary Steps  J Deverall, J Lee, M Ayala
2017   Hybrid VAE: Improving Deep Generative Models using Partial Observations  S Tulyakov, A Fitzgibbon, S Nowozin 
2017   Face Video Super-Resolution with Identity Guided Generative Adversarial Networks  D Li, Z Wang 
2017   GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference  V Jethava, D Dubhashi 
2017   AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks  T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang 
2017   Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes  Z Zheng, Z Yu, H Zheng, C Wang, N Wang 
2017   Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks  B Hu, Y Tang, EI Chang, Y Fan, M Lai, Y Xu 
2017   EE-559–Deep learning 9. Autoencoders and generative models  F Fleuret
2017   MMGAN: Manifold Matching Generative Adversarial Network for Generating Images  N Park, A Anand, JRA Moniz, K Lee, T Chakraborty
2017   Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model  J Lu, A Kannan, J Yang, D Parikh, D Batra
2017   On Unifying Deep Generative Models  Z Hu, Z Yang, R Salakhutdinov, EP Xing
2017   Language Generation with Recurrent Generative Adversarial Networks without Pre-training  O Press, A Bar, B Bogin, J Berant, L Wolf
2017   Generative modeling of speech using neural networks  S Matsoukas, N Ström, A Rastrow, SVSSR Garimella
2017   Unsupervised Image-to-Image Translation with Generative Adversarial Networks  H Dong, P Neekhara, C Wu, Y Guo
2017   Pre-training the Deep Generative Models with Adaptive Hyperparameter Optimization  C Yao, D Cai, J Bu, G Chen
2017   Generative Adversarial Neural Networks for Pigmented and Non-Pigmented Skin Lesions Detection in Clinical Images  A Udrea, GD Mitra
2017   Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks  Z Erickson, S Chernova, CC Kemp
2017   Generative Adversarial Network For Musical Instrument Tone  IJ Yu
2017   Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models  J Gu, J Cai, S Joty, L Niu, G Wang 
2017   High-Resolution Deep Convolutional Generative Adversarial Networks  JD Curto, IC Zarza, F De La Torre, I King, MR Lyu 
2017   Generative Face Completion  Y Li, S Liu, J Yang, MH Yang
2017   Generative Adversarial Networks: An Overview  A Creswell, T White, V Dumoulin, K Arulkumaran 
2017   Depth and Complexity of Deep Generative Adversarial Networks  HV Yamazaki, T Yamaguchi
2017   Generative Adversarial Perturbations  O Poursaeed, I Katsman, B Gao, S Belongie 
2017   TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition  T Zhang, A Wiliem, S Yang, BC Lovell 
2017   SGAN: An Alternative Training of Generative Adversarial Networks  T Chavdarova, F Fleuret 
2017   Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks  S Ding, A Wallin 
2017   Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal  J Wang, X Li, L Hui, J Yang 
2017   Variational Approaches for Auto-Encoding Generative Adversarial Networks  M Rosca, B Lakshminarayanan, D Warde
2017   Concept Formation and Dynamics of Repeated Inference in Deep Generative Models  Y Nagano, R Karakida, M Okada 
2017   Eye In-Painting with Exemplar Generative Adversarial Networks  B Dolhansky, CC Ferrer 
2017   PacGAN: The power of two samples in generative adversarial networks  Z Lin, A Khetan, G Fanti, S Oh 
2017   Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks  A Sage, E Agustsson, R Timofte, L Van Gool 
2017   Stochastic reconstruction of an oolitic limestone by generative adversarial networks  L Mosser, O Dubrule, MJ Blunt 
2017   Decoding brain-like representations with a generative adversarial network  G St
2017   WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images  J Li, KA Skinner, RM Eustice, M Johnson
2017   Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks  L Mescheder, S Nowozin, A Geiger
2017   Generative Autotransporters  J Wu, Z Huang, W Li, L Van Gool
2017   DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data  S Gurumurthy, RK Sarvadevabhatla
2017   Creating Virtual Universes Using Generative Adversarial Networks  M Mustafa, D Bard, W Bhimji, R Al
2017   Deep Learning and Hierarchal Generative Models  E Mossel
2017   Unsupervised Generative Modeling Using Matrix Product States  ZY Han, J Wang, H Fan, L Wang, P Zhang
2017   CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training  M Kocaoglu, C Snyder, AG Dimakis, S Vishwanath
2017   Synthetic Medical Images from Dual Generative Adversarial Networks  JT Guibas, TS Virdi, PS Li
2017   The Partial Information Decomposition of Generative Neural Network Models  T Tax, PAM Mediano, M Shanahan
2017   Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records  Z Che, Y Cheng, S Zhai, Z Sun, Y Liu
2017   Generative Adversarial Networks for Model Based Reinforcement Learning with Tree Search  T Xiao, G Kesineni
2017   Building an Automatic Sprite Generator with Deep Convolutional Generative Adversarial Networks  L Horsley, D Perez
2017   SSGAN: Secure Steganography Based on Generative Adversarial Networks  H Shi, J Dong, W Wang, Y Qian, X Zhang
2017   AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks  X Mao, Q Li, H Xie
2017   Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework  S Yang, L Xie, X Chen, X Lou, D Huang, H Li
2017   Generative Adversarial Networks for Noise Reduction in Low-Dose CT  JM Wolterink, T Leiner, MA Viergever, I Isgum
2017   Flow-GAN: Bridging implicit and prescribed learning in generative models  AGMDS Ermon
2017   Learning to sample from noise with deep generative models  F Bordes
2017   Phase space sampling and operator confidence with generative adversarial networks  K Mills, I Tamblyn 
2017   I Know That Person: Generative Full Body and Face De-Identification of People in Images  K Brkic, I Sikiric, T Hrkac, Z Kalafatic
2017   Translation-aware Semantic Segmentation via Conditional Least Square Generative Adversarial Networks  M Zhanga, X Hua, L Zhaoa, S Pangb, J Gonga, M Luoa
2017   Binary Generative Adversarial Networks for Image Retrieval  J Song
2017   NIPS 2016 Tutorial: Generative Adversarial Networks  I Goodfellow
2017   Generative Adversarial Networks  S Halbritter
2017   SAR image target recognition via deep Bayesian generative network  D Guo, B Chen
2017   Two Time-Scale Update Rule for Generative Adversarial Nets  H Ramsauer, M Heusel, S Hochreiter, B Nessler 
2017   Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks  P Bhattacharjee, S Das 
2017   Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks  WS Lai, JB Huang, MH Yang 
2017   Structured Generative Adversarial Networks  H Zhang, Z Deng, X Liang, J Zhu, EP Xing 
2017   A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification  W Han, R Feng, L Wang, Y Cheng 
2017   A Generative Model for Volume Rendering  M Berger, J Li, JA Levine 
2017   Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network  MM Thomas, AG Forbes 
2017   Context-Aware Generative Adversarial Privacy  C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal 
2017   Biomedical Data Augmentation Using Generative Adversarial Neural Networks  F Calimeri, A Marzullo, C Stamile, G Terracina 
2017   Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images  Y Okadome, W Wei, T Aizono 
2017   How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis  MJM Chuquicusma, S Hussein, J Burt, U Bagci 
2017   Text Generation Based on Generative Adversarial Nets with Latent Variable  H Wang, Z Qin, T Wan 
2017   Training Sequence Generative Adversarial Nets to Compose Music in the abc-notation  OF Jansen
2017   GANGs: Generative Adversarial Network Games  FA Oliehoek, R Savani, J Gallego
2017   Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts  Y Zhu, M Elhoseiny, B Liu, A Elgammal 
2017   Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks  H Salehinejad, S Valaee, T Dowdell, E Colak, J Barfett 
2017   Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks  X Chen, J Yu, S Kong, Z Wu, X Fang, L Wen 
2017   Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test …  A Yahi, R Vanguri, N Elhadad, NP Tatonetti 
2017   Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks  Y Huo, Z Xu, S Bao, C Bermudez, AJ Plassard, J Liu 
2017   Sinkhorn-AutoDiff: Tractable Wasserstein Learning of Generative Models  A Genevay, G Peyré, M Cuturi
2017   Megapixel Size Image Creation using Generative Adversarial Networks  M Marchesi
2017   Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models  GL Guimaraes, B Sanchez
2017   Weakly Supervised Generative Adversarial Networks for 3D Reconstruction  JY Gwak, CB Choy, A Garg, M Chandraker, S Savarese
2017   Deep Generative Adversarial Networks for Compressed Sensing Automates MRI  M Mardani, E Gong, JY Cheng, S Vasanawala
2017   Attentive Generative Adversarial Network for Raindrop Removal from a Single Image  R Qian, RT Tan, W Yang, J Su, J Liu 
2017   StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation  Y Choi, M Choi, M Kim, JW Ha, S Kim, J Choo 
2017   In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks  P Perera, M Abavisani, VM Patel 
2017   Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data  G Gu, ST Kim, K Kim, WJ Baddar, YM Ro 
2017   IVE-GAN: Invariant Encoding Generative Adversarial Networks  R Winter, DA Clevert 
2017   Personalized and Occupational-aware Age Progression by Generative Adversarial Networks  S Zhou, W Zhao, J Feng, H Lai, Y Pan, J Yin, S Yan 
2017   Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery  M Mardani, H Monajemi, V Papyan, S Vasanawala 
2017   Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery  T Schlegl, P Seeböck, SM Waldstein, U Schmidt
2017   Global versus Localized Generative Adversarial Nets  GJ Qi, L Zhang, H Hu 
2017   Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models  J Engel, M Hoffman, A Roberts 
2017   Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network  A Lahiri, A Jain, PK Biswas, P Mitra 
2017   How Generative Adversarial Nets and its variants Work: An Overview of GAN  Y Hong, U Hwang, J Yoo, S Yoon 
2017   Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition  C Donahue, B Li, R Prabhavalkar 
2017   Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks  J van Amersfoort, W Shi, A Acosta, F Massa, J Totz 
2017   Generative Models In Discriminative Based Hasing Method Classifiers  S SIVASAKTHI, PN Suguna
2017   Generative learning for deep networks  B Flach, A Shekhovtsov, O Fikar
2017   Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence  R Gao, Y Lu, J Zhou, SC Zhu, YN Wu
2017   Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks  Y Saito, S Takamichi, H Saruwatari
2017   Creating Turbulent Flow Realizations with Generative Adversarial Networks  R King, P Graf, M Chertkov
2017   Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks  Y Latif, R Garg, M Milford, I Reid
2017   Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks  W Xiong, W Luo, L Ma, W Liu, J Luo
2017   Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network  C Jiang, P Marcus
2017   Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis  B Bollepalli, L Juvela, P Alku
2017   Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation  T Neff, C Payer, D Štern, M Urschler
2017   Generative Adversarial Models for People Attribute Recognition in Surveillance  F Matteo, S Calderara, R Cucchiara
2017   Wasserstein generative adversarial networks  M Arjovsky, S Chintala, L Bottou
2017   From optimal transport to generative modeling: the VEGAN cookbook  O Bousquet, S Gelly, I Tolstikhin, CJ Simon
2017   Wasserstein Learning of Deep Generative Point Process Models  S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha
2017   Synthetic Aperture Radar Image Synthesis by Using Generative Adversarial Nets  J Guo, B Lei, C Ding, Y Zhang
2017   Continual Learning in Generative Adversarial Nets  A Seff, A Beatson, D Suo, H Liu
2017   LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks  J Hayes, L Melis, G Danezis, E De Cristofaro
2017   Semantically Decomposing the Latent Spaces of Generative Adversarial Networks  C Donahue, A Balsubramani, J McAuley, ZC Lipton
2017   Generating and designing DNA with deep generative models  N Killoran, LJ Lee, A Delong, D Duvenaud, BJ Frey 
2017   Metric-based Generative Adversarial Network  G Dai, J Xie, Y Fang 
2017   Face Aging with Contextual Generative Adversarial Nets  S Liu, Y Sun, D Zhu, R Bao, W Wang, X Shu, S Yan 
2017   Language and Noise Transfer in Speech Enhancement Generative Adversarial Network  S Pascual, M Park, J Serrà, A Bonafonte, KH Ahn 
2017   Coverless Information Hiding Based on Generative adversarial networks  M Liu, M Zhang, J Liu, Y Zhang, Y Ke 
2017   On the Effectiveness of Least Squares Generative Adversarial Networks  X Mao, Q Li, H Xie, RYK Lau, Z Wang, SP Smolley 
2017   Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation  C Wan, T Probst, L Van Gool, A Yao
2017   Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis  A Kitchen, J Seah
2017   Generative Semantic Manipulation with Contrasting GAN  X Liang, H Zhang, EP Xing
2017   Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks  T Kim, B Kim, M Cha, J Kim
2017   Model-Free Renewable Scenario Generation Using Generative Adversarial Networks  Y Chen, Y Wang, D Kirschen, B Zhang
2017   Bayesian Conditional Generative Adverserial Networks  ME Abbasnejad, Q Shi, I Abbasnejad, A Hengel, A Dick
2017   Perceptual Generative Adversarial Networks for Small Object Detection  J Li, X Liang, Y Wei, T Xu, J Feng, S Yan
2017   Interactive 3D Modeling with a Generative Adversarial Network  J Liu, F Yu, T Funkhouser
2017   druGAN: an advanced generative adversarial autoencoder model for de-novo generation of new molecules with desired molecular properties in silico  A Kadurin, S Nikolenko, K Khrabrov, A Aliper
2017   Generative Adversarial Network based on Resnet for Conditional Image Restoration  M Wang, H Li, F Li
2017   Optimizing the Latent Space of Generative Networks  P Bojanowski, A Joulin, D Lopez
2017   Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks  Y Hu, E Gibson, LL Lee, W Xie, DC Barratt
2017   Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)  M Fulham
2017   Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks  Y Liu, Z Qin, Z Luo, H Wang
2017   Introspective Generative Modeling: Decide Discriminatively  J Lazarow, L Jin, Z Tu
2017   Generative adversarial networks: introduction and outlook  K Wang, C Gou, Y Duan, Y Lin, X Zheng, FY Wang
2017   Multimodal Storytelling via Generative Adversarial Imitation Learning  Z Chen, X Zhang, AP Boedihardjo, J Dai, CT Lu
2017   Tag Disentangled Generative Adversarial Networks for Object Image Re-rendering  C Wang, C Wang, C Xu, D Tao
2017   Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces  H Zhang, VM Patel, BS Riggan, S Hu
2017   Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations  J Deng, N Cummins, M Schmi, K Qian, F Ringeval
2017   Generative Adversarial Networks for Visual Object Detection  D Kislyuk
2017   Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning  L Tai, J Zhang, M Liu, W Burgard 
2017   Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification  D Michelsanti, ZH Tan
2017   An end-to-end generative adversarial network for crowd counting under complicated scenes  J Li, H Yang, L Chen, J Li, C Zhi
2017   The shape variational autoencoder: A deep generative model of part-segmented 3D objects  C Nash, CKI Williams
2017   Generative Adversarial Mapping Networks  J Guo, G Zhu, J Li
2017   Generative Adversarial Networks with Inverse Transformation Unit  Z Kong, S Ding
2017   Belief propagation generative adversarial networks  S Wang
2017   Multi-phase Offline Signature Verification System Using Deep Convolutional Generative Adversarial Networks  Z Zhang, X Liu, Y Cui
2017   A Generative Model of People in Clothing  C Lassner, G Pons
2017   Adversarial Examples Generation and Defense Based on Generative Adversarial Network  F Xia, R Liu
2017   Modeling Grasp Motor Imagery through Deep Conditional Generative Models  M Veres, M Moussa, GW Taylor
2017   Group invariance principles for causal generative models  M Besserve, N Shajarisales, B Schölkopf, D Janzing
2017   GRASS: Generative Recursive Autoencoders for Shape Structures  J Li, K Xu, S Chaudhuri, E Yumer, H Zhang, L Guibas
2017   Generative Cooperative Net for Image Generation and Data Augmentation  Q Xu, Z Qin, T Wan
2017   Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN  H Lee, S Han, J Lee
2017   CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks  M Paganini, L de Oliveira, B Nachman
2017   Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks  J Chang, S Scherer
2017   High-Quality Face Image SR Using Conditional Generative Adversarial Networks  H Bin, C Weihai, W Xingming, L Chun
2017   Image Reconstruction by Generative Adversarial Networks  M Huang, K Frans, M Tory, J Zhang
2017   Learning Deep Generative Models With Doubly Stochastic Gradient MCMC  C Du, J Zhu, B Zhang
2017   Tensorizing Generative Adversarial Nets  X Cao, Q Zhao 
2017   SVSGAN: Singing Voice Separation via Generative Adversarial Network  ZC Fan, YL Lai, JSR Jang 
2017   Flexible Prior Distributions for Deep Generative Models  Y Kilcher, A Lucchi, T Hofmann 
2017   Generative Adversarial Source Separation  C Subakan, P Smaragdis 
2017   Implicit Manifold Learning on Generative Adversarial Networks  KYC Lui, Y Cao, M Gazeau, KS Zhang 
2017   StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks  H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang 
2017   Generate Identity-Preserving Faces by Generative Adversarial Networks  Z Li, Y Luo
2017   An Online Learning Approach to Generative Adversarial Networks  P Grnarova, KY Levy, A Lucchi, T Hofmann, A Krause
2017   Adversarial Divergences are Good Task Losses for Generative Modeling  G Huang, G Gidel, H Berard, A Touati, S Lacoste
2017   Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks  MO Vertolli, J Davies
2017   Parametrization and Generation of Geological Models with Generative Adversarial Networks  S Chan, AH Elsheikh
2017   Probabilistic Generative Adversarial Networks  H Eghbal
2017   The Riemannian Geometry of Deep Generative Models  H Shao, A Kumar, PT Fletcher 
2017   A generative adversarial framework for positive-unlabeled classification  M Hou, Q Zhao, C Li, B Chaib
2017   Object Discovery By Generative Adversarial & Ranking Networks  A Diba, V Sharma, R Stiefelhagen, L Van Gool 
2017   Sketch-based Image Retrieval using Generative Adversarial Networks  L Guo, J Liu, Y Wang, Z Luo, W Wen, H Lu
2017   ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks  J Zhang, F Zhong, G Cao, X Qin 
2017   Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking  V Vukotic, C Raymond, G Gravier
2017   Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network  L Zhao, J Liang, H Bai, A Wang, Y Zhao
2017   Automatic manga colorization with color style by generative adversarial nets  Y Kataoka, T Matsubara, K Uehara
2017   MCMC based Generative Adversarial Networks for Handwritten Numeral Augmentation  H Zhang, C Luo, X Yu, P Ren
2016   Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks  E Denton, S Gross, R Fergus
2016   DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning  RR Bhat, V Viswanath, X Li
2016   StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks  H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang
2016   Combining Generative and Discriminative Neural Networks for Sleep Stages Classification  EP Giri, MI Fanany, AM Arymurthy
2016   Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines  G van Tulder, M de Bruijne
2016   Auxiliary Deep Generative Models  L Maaløe, CK Sønderby, SK Sønderby, O Winther
2016   Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible  Y Bengio, B Scellier, O Bilaniuk, J Sacramento, W Senn
2016   Robust Image Restoration Based on Adaptive Multiple Columns Generative Model  Y Wang, X Li, L Zhao
2016   SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient  L Yu, W Zhang, J Wang, Y Yu
2016   Multi-class Generative Adversarial Networks with the L2 Loss Function  X Mao, Q Li, H Xie, RYK Lau, Z Wang
2016   Socratic Learning: Empowering the Generative Model  P Varma, R Yu, D Iter, C De Sa, C Ré
2016   Generative Adversarial Text to Image Synthesis  S Reed, Z Akata, X Yan, L Logeswaran, B Schiele
2016   Deep Directed Generative Models with Energy-Based Probability Estimation  T Kim, Y Bengio
2016   Learning a Predictable and Generative Vector Representation for Objects  R Girdhar, DF Fouhey, M Rodriguez, A Gupta
2016   Generative Image Modeling using Style and Structure Adversarial Networks  X Wang, A Gupta
2016   One-Shot Generalization in Deep Generative Models  DJ Rezende, S Mohamed, I Danihelka, K Gregor
2016   Generative Adversarial Networks as Variational Training of Energy Based Models  S Zhai, Y Cheng, R Feris, Z Zhang
2016   Deep Generative Models of Galaxy Images for the Calibration of the Next Generation of Weak Lensing Surveys  F Lanusse, S Ravanbakhsh, R Mandelbaum
2016   Generating Images Part by Part with Composite Generative Adversarial Networks  H Kwak, BT Zhang
2016   Learning Deep Generative Spatial Models for Mobile Robots  A Pronobis, RPN Rao
2016   SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks  A Ghosh, B Bhattacharya, SBR Chowdhury
2016   Ultra-Resolving Face Images by Discriminative Generative Networks  X Yu, F Porikli
2016   A Theory of Generative ConvNet  J Xie, Y Lu, SC Zhu, YN Wu
2016   Discriminative Regularization for Generative Models  A Lamb, V Dumoulin, A Courville
2016   Generative Leadership for Community Colleges  J Channing
2016   Kernel-based Generative Learning in Distortion Feature Space  B Tang, PM Baggenstoss, H He
2016   Deep Part-Based Generative Shape Model with Latent Variables  A Kirillov, M Gavrikov, E Lobacheva, A Osokin
2016   A Document Modeling Method Based on Deep Generative Model and Spectral Hashing  H Chen, J Xu, Q Wang, B He
2016   Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation  T Han, Y Lu, SC Zhu, YN Wu
2016   Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks  C Li, M Wand
2016   A Theory Of Generative Convnet By Jianwen Xie, Yang Lu, Song-Chun Zhu And Ying Nian Wu  J XIE, Y LU, SC ZHU, YN WU
2016   Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network  C Ledig, L Theis, F Huszar, J Caballero, A Aitken
2016   A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems  O Neopane, S Das, E Arias
2016   WaveNet: A Generative Model for Raw Audio  S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves
2016   Medical Image Synthesis with Context-Aware Generative Adversarial Networks  D Nie, R Trullo, C Petitjean, S Ruan, D Shen
2015   Analysis and synthesis of 3D shape families via deep‐learned generative models of surfaces  H Huang, E Kalogerakis, B Marlin
2015   Image Classification Using Generative Neuro Evolution for Deep Learning  P Verbancsics, J Harguess
2015   Hierarchical Neural Network Generative Models for Movie Dialogues  IV Serban, A Sordoni, Y Bengio, A Courville, J Pineau
2015   A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling  S Nie, Z Wang, Q Ji
2015   Generative Moment Matching Networks  Y Li, K Swersky, R Zemel
2015   A Generative Model for Deep Convolutional Learning  Y Pu, X Yuan, L Carin
2015   Training Deep Generative Models: Variations on a Theme  P Bachman, D Precup, NE Thermodynamics
2015   A Deep Generative Deconvolutional Image Model  Y Pu, X Yuan, A Stevens, C Li, L Carin
2015   Implementation of discriminative and generative deep learning  J Shen, M Lee
2015   Adding discriminative power to a generative hierarchical compositional model using histograms of compositions  D Tabernik, A Leonardis, M Boben, D Skočaj, M Kristan
2015   A note on the evaluation of generative models  L Theis, A Oord, M Bethge
2015   Generative Graph Prototypes from Information Theory  R Wilson, E Hancock
2015   Mapping Generative Models onto Networks of Digital Spiking Neurons  BU Pedroni, S Das, JV Arthur, PA Merolla, BL Jackson
2015   Deep Discriminative And Generative Models For Pattern Recognition  L Deng, N Jaitly
2015   Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks  E Denton, S Chintala, A Szlam, R Fergus
2015   Learning Deep Generative Models with Doubly Stochastic MCMC  C Du, J Zhu, B Zhang
2015   Generative Image Modeling Using Spatial LSTMs  L Theis, M Bethge
2015   Max-margin Deep Generative Models  C Li, J Zhu, T Shi, B Zhang
2015   Conditional generative adversarial nets for convolutional face generation  J Gauthier
2015   Unsupervised Learning of Visual Structure using Predictive Generative Networks  W Lotter, G Kreiman, D Cox
2015   Learning Structured Output Representation using Deep Conditional Generative Models  K Sohn, H Lee, X Yan
2015   Efficient inference in occlusion-aware generative models of images  J Huang, K Murphy
2015   Modeling cognition with generative neural networks: The case of orthographic processing  A Testolin
2015   GSNs: Generative Stochastic Networks  G Alain, Y Bengio, L Yao, J Yosinski
2015   Bidirectional Recurrent Neural Networks as Generative Models-Reconstructing Gaps in Time Series  M Berglund, T Raiko, M Honkala, L Kärkkäinen
2015   Learning as a generative activity: Eight learning strategies that promote understanding  L Fiorella, RE Mayer
2014   An Overview of Deep Generative Models  J Xu, H Li, S Zhou
2014   Generative Modeling of Convolutional Neural Networks  J Dai, YN Wu
2014   Voice Conversion Using Deep Neural Networks with Layer-Wise Generative Training  LH Chen, ZH Ling, LJ Liu, LR Dai
2014   A generative model of identifying informative proteins from dynamic PPI networks  Y Zhang, Y Cheng, KB Jia, AD Zhang
2014   Conditional Generative Adversarial Nets  M Mirza, S Osindero
2014   Generative Adversarial Nets  IJ Goodfellow, J Pouget
2014   Learning Generative Models with Visual Attention-Supplementary Materials  CN Network
2014   Deep Directed Generative Autoencoders  S Ozair, Y Bengio
2014   Context-Aware Generative Learning Objects for Teaching Computer Science  R BURBAITE, K BESPALOVA, R DAMASˇEVICˇIUS