Towards Principled Methods for Training Generative Adversarial Networks

17 January 2017

Papers citing "Towards Principled Methods for Training Generative Adversarial Networks"

50 / 295 papers shown

Title
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network Da Ma Donghuan Lu K. Popuri M. Beg MedIm 15 3 0 12 Sep 2021
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 18 3 0 08 Sep 2021
Gradient Normalization for Generative Adversarial Networks Yi-Lun Wu Hong-Han Shuai Zhi Rui Tam H. Chiu GAN 27 63 0 06 Sep 2021
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yihang Gao Michael K. Ng 38 28 0 30 Aug 2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann 3DH 27 75 0 19 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks El Mehdi Achour Franccois Malgouyres Franck Mamalet 16 20 0 12 Aug 2021
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models Ambrish Rawat Killian Levacher M. Sinn AAML 30 11 0 03 Aug 2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks Alberto Mozo Ángel González-Prieto Antonio Agustin Pastor Perales Sandra Gómez Canaval Edgar Talavera 27 23 0 30 Jul 2021
Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images Adrià Casamitjana M. Mancini Juan Eugenio Iglesias MedIm 24 14 0 30 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 35 62 0 19 Jul 2021
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks Weimin Zhou Sayantan Bhadra F. Brooks Hua Li M. Anastasio GAN MedIm 25 17 0 27 Jun 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 32 82 0 17 Jun 2021
Multi-level Motion Attention for Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann Hongdong Li 3DH 21 79 0 17 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 52 37 0 16 Jun 2021
Learning the Precise Feature for Cluster Assignment Yanhai Gan Xinghui Dong Huiyu Zhou Feng Gao Junyu Dong 33 4 0 11 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 37 26 0 10 Jun 2021
Realizing GANs via a Tunable Loss Function Gowtham R. Kurri Tyler Sypherd Lalitha Sankar GAN 14 15 0 09 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 33 83 0 08 Jun 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation Hojjat Navidan P. Moshiri M. Nabati Reza Shahbazian S. Ghorashi V. Shah-Mansouri David Windridge 13 83 0 10 May 2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains Yaxing Wang Abel Gonzalez-Garcia Chenshen Wu Luis Herranz Fahad Shahbaz Khan Shangling Jui Joost van de Weijer 32 6 0 28 Apr 2021
Dual Contrastive Loss and Attention for GANs Ning Yu Guilin Liu Aysegül Dündar Andrew Tao Bryan Catanzaro Larry S. Davis Mario Fritz GAN 34 60 0 31 Mar 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression Wanhua Li Xiaoke Huang Jiwen Lu Jianjiang Feng Jie Zhou UQCV 32 62 0 25 Mar 2021
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning Bonan li Xuecheng Nie Congying Han DiffM 24 0 0 19 Mar 2021
Mean Field Game GAN Shaojun Ma Haomin Zhou H. Zha GAN AI4CE 39 0 0 14 Mar 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 33 220 0 09 Mar 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 41 481 0 08 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
Training Generative Adversarial Networks in One Stage Chengchao Shen Youtan Yin Xinchao Wang Xubin Li Mingli Song Xiuming Zhang GAN 23 14 0 28 Feb 2021
A Brief Introduction to Generative Models Alex Lamb GAN VLM 22 16 0 27 Feb 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 27 25 0 24 Feb 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 24 50 0 20 Feb 2021
Denoising Score Matching with Random Fourier Features Olga Tsymboi Yermek Kapushev Evgeny Burnaev Ivan Oseledets 31 1 0 13 Jan 2021
Towards Generalized Implementation of Wasserstein Distance in GANs Minkai Xu Zhiming Zhou Guansong Lu Jian Tang Weinan Zhang Yong Yu 21 1 0 07 Dec 2020
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 15 181 0 30 Nov 2020
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition Elnaz Soleimani G. Khodabandelou A. Chibani Y. Amirat 33 1 0 11 Nov 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations Chongli Qin Yan Wu Jost Tobias Springenberg Andrew Brock Jeff Donahue Timothy Lillicrap Pushmeet Kohli GAN 32 28 0 28 Oct 2020
Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning Zijue Chen David Ting Rhys Newbury Chao Chen 6 59 0 14 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal GAN 21 45 0 04 Oct 2020
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study Jaesung Yoo Jeman Park An Wang David A. Mohaisen Joongheon Kim MedIm 30 0 0 21 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 240 0 03 Sep 2020
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users Dilruk Perera Roger Zimmermann 38 27 0 25 Aug 2020
On Attribution of Deepfakes Baiwu Zhang Jin Peng Zhou Ilia Shumailov Nicolas Papernot WIGM 32 11 0 20 Aug 2020
Flow Field Reconstructions with GANs based on Radial Basis Functions Liwei Hu Wenyong Wang Yu Xiang Jun Zhang AI4CE 32 15 0 11 Aug 2020
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning Shen Zhang Fei Ye Bingnan Wang T. Habetler 11 75 0 25 Jul 2020
History Repeats Itself: Human Motion Prediction via Motion Attention Wei Mao Miaomiao Liu Mathieu Salzmann 67 287 0 23 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
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss Haoyi Wang Victor Sanchez Chang-Tsun Li GAN CVBM 20 12 0 01 Jul 2020