Wasserstein GAN

26 January 2017

Papers citing "Wasserstein GAN"

50 / 692 papers shown

Title
Private Post-GAN Boosting Marcel Neunhoeffer Zhiwei Steven Wu Cynthia Dwork 116 29 0 23 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 24 3 0 20 Jul 2020
Detection, Attribution and Localization of GAN Generated Images Michael Goebel L. Nataraj Tejaswi Nanjundaswamy Tajuddin Manhar Mohammed S. Chandrasekaran B. S. Manjunath GAN 28 36 0 20 Jul 2020
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning Maunil R. Vyas Hemanth Venkateswara S. Panchanathan GAN 13 136 0 19 Jul 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 21 16 0 17 Jul 2020
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation Zongsheng Yue Qian Zhao Lei Zhang Deyu Meng DiffM 20 200 0 12 Jul 2020
PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing Zhenliang He Meina Kan Jichao Zhang Shiguang Shan CVBM GAN 21 27 0 12 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 27 5 0 10 Jul 2020
Progressive Point Cloud Deconvolution Generation Network Le Hui Rui Xu Jin Xie J. Qian Jian Yang 3DPC 27 72 0 10 Jul 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 18 18 0 09 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 42 57 0 08 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 31 53 0 07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 21 85 0 06 Jul 2020
Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey O. Kechagias-Stamatis N. Aouf 11 106 0 04 Jul 2020
Conditional GAN for timeseries generation Kaleb E. Smith Anthony O. Smith AI4TS 16 77 0 30 Jun 2020
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation Hadi Jamali Rad Attila Szabo SSeg 20 1 0 19 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks Yuesong Tian Li Shen Li Shen Guinan Su Zhifeng Li Wei Liu GAN 31 32 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
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
Self-Supervised Domain Mismatch Estimation for Autonomous Perception Jonas Löhdefink Justin Fehrling Marvin Klingner Fabian Hüger Peter Schlicht Nico M. Schmidt Tim Fingscheidt 13 15 0 15 Jun 2020
Learning Decomposed Representation for Counterfactual Inference Anpeng Wu Kun Kuang Junkun Yuan Bo Li Jianrong Tao Qiang Zhu Yueting Zhuang Fei Wu CML 29 21 0 12 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 27 22 0 11 Jun 2020
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis Yong Dai Jian-Dong Liu Xiancong Ren Zenglin Xu 12 54 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 26 24 0 01 Jun 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 34 78 0 29 May 2020
Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training Andrei Kucharavy El-Mahdi El-Mhamdi R. Guerraoui GAN 24 1 0 22 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 30 83 0 18 May 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis Li Zhang Mingliang Wang Mingxia Liu Daoqiang Zhang 23 155 0 10 May 2020
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching S. A. Canchumuni J. D. B. Castro Júlia Potratz A. Emerick M. Pacheco 14 47 0 08 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 29 40 0 07 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 24 146 0 06 May 2020
Attentive Semantic Exploring for Manipulated Face Detection Zehao Chen Hua Yang CVBM 18 22 0 06 May 2020
AIBench Scenario: Scenario-distilling AI Benchmarking Wanling Gao Fei Tang Jianfeng Zhan Xu Wen Lei Wang Zheng Cao Chuanxin Lan Chunjie Luo Xiaoli Liu Zihan Jiang 29 14 0 06 May 2020
We Need to Talk About Random Splits Anders Søgaard Sebastian Ebert Jasmijn Bastings Katja Filippova 34 97 0 01 May 2020
AIBench Training: Balanced Industry-Standard AI Training Benchmarking Fei Tang Wanling Gao Jianfeng Zhan Chuanxin Lan Xu Wen ... Yatao Li Junchao Shao Zhenyu Wang Xiaoyu Wang Hainan Ye 30 3 0 30 Apr 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 23 5 0 30 Apr 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 73 25 0 27 Apr 2020
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks Jianhe Yuan Zhihai He AAML 19 22 0 23 Apr 2020
Adversarial Distortion for Learned Video Compression Vijay Veerabadran Reza Pourreza A. Habibian Taco S. Cohen GAN 35 13 0 20 Apr 2020
Network-principled deep generative models for designing drug combinations as graph sets Mostafa Karimi Arman Hasanzadeh Yang Shen GNN 30 31 0 16 Apr 2020
On Linear Optimization over Wasserstein Balls Man-Chung Yue Daniel Kuhn W. Wiesemann 17 50 0 15 Apr 2020
Data augmentation using generative networks to identify dementia B. Mirheidari Yilin Pan D. Blackburn R. O'Malley Traci Walker A. Venneri M. Reuber H. Christensen MedIm 13 4 0 13 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 51 259 0 09 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 14 20 0 07 Apr 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 30 21 0 07 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 25 8 0 05 Apr 2020
Structure-Preserving Super Resolution with Gradient Guidance Cheng Ma Yongming Rao Yean Cheng Ce Chen Jiwen Lu Jie Zhou SupR 18 298 0 29 Mar 2020