NIPS 2016 Tutorial: Generative Adversarial Networks

31 December 2016

Papers citing "NIPS 2016 Tutorial: Generative Adversarial Networks"

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Title
Bridging the Domain Gap for Stance Detection for the Zulu language Gcinizwe Dlamini I. E. I. Bekkouch A. Khan Leon Derczynski 28 3 0 06 May 2022
Novel Applications for VAE-based Anomaly Detection Systems Luca Bergamin Tommaso Carraro Mirko Polato F. Aiolli DRL 24 6 0 26 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 23 38 0 10 Apr 2022
Probabilistic Implicit Scene Completion Dongsu Zhang Changwoon Choi I. Park Y. Kim 3DPC 3DV 24 5 0 04 Apr 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 35 32 0 14 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
Language vs Speaker Change: A Comparative Study Jagabandhu Mishra S. M. I. S. R. Mahadeva Prasanna 21 0 0 05 Mar 2022
Generating Synthetic Mobility Networks with Generative Adversarial Networks G. Mauro Massimiliano Luca Antonio Longa Bruno Lepri Luca Pappalardo GAN 18 23 0 22 Feb 2022
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors Emilien Valat K. Farrahi T. Blumensath GAN MedIm 17 1 0 01 Feb 2022
Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling Han Hu Xinrong Liang Yulin Ding Qisen Shang Bo Xu X. Ge Min Chen Ruofei Zhong Qing Zhu 29 9 0 22 Jan 2022
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis Muhammad Muneeb Saad Ruairi O'Reilly M. H. Rehmani MedIm 44 35 0 19 Jan 2022
Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks Rafael Bouzaglo Y. Keller 39 14 0 17 Jan 2022
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity V. Delvigne Noé Tits L. L. Fisca Nathan Hubens Antoine Maiorca H. Wannous Thierry Dutoit Jean-Philippe Vandeborre 19 0 0 11 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 28 68 0 31 Dec 2021
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions M. Zarei B. Hellinga 13 2 0 21 Dec 2021
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Simulated Crash Data Study M. Zarei B. Hellinga P. Izadpanah CML 16 11 0 13 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 27 326 0 13 Dec 2021
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection Furkan Luleci F. Catbas Onur Avcı 27 44 0 07 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 34 12 0 26 Nov 2021
Convergence of sequences: a survey Barbara Franci Sergio Grammatico 36 19 0 22 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 38 9 0 15 Nov 2021
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 25 7 0 10 Nov 2021
Training Generative Adversarial Networks with Adaptive Composite Gradient Huiqing Qi Fang Li Shengli Tan Xiangyun Zhang GAN 31 3 0 10 Nov 2021
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation Safa C. Medin Bernhard Egger A. Cherian Ye Wang J. Tenenbaum Xiaoming Liu Tim K. Marks 3DH CVBM 19 32 0 01 Nov 2021
CT-SGAN: Computed Tomography Synthesis GAN Ahmad Pesaranghader Yiping Wang Mohammad Havaei GAN MedIm 29 11 0 14 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 49 21 0 07 Oct 2021
Scenario generation for market risk models using generative neural networks Solveig Flaig Gero Junike GAN 32 10 0 21 Sep 2021
Learning cortical representations through perturbed and adversarial dreaming Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan GAN CLL 58 21 0 09 Sep 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
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study Zhenyu Wu Zhaowen Wang Ye Yuan Jianming Zhang Zhangyang Wang Hailin Jin 42 4 0 23 Jul 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip Torr A. G. Baydin OOD 36 39 0 14 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
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 84 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
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 22 17 0 29 Mar 2021
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans Xavier Rafael-Palou A. Aubanell M. Ceresa Vicent J. Ribas Gemma Piella M. A. G. Ballester MedIm 13 3 0 26 Mar 2021
Cooperative Self-training of Machine Reading Comprehension Hongyin Luo Shang-Wen Li Ming Gao Seunghak Yu James R. Glass SyDa RALM 20 11 0 12 Mar 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 33 221 0 09 Mar 2021
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data Massimiliano Lupo Pasini Vittorio Gabbi Junqi Yin S. Perotto N. Laanait GAN AI4CE 24 3 0 21 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 38 133 0 14 Feb 2021
Detecting Bias in Transfer Learning Approaches for Text Classification Irene Z Li FaML 22 1 0 03 Feb 2021
Detecting Deepfake Videos Using Euler Video Magnification Rashmiranjan Das Gaurav Negi Alan F. Smeaton 38 15 0 27 Jan 2021
Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis Xiaofeng Liu Fangxu Xing Jerry L. Prince A. Carass M. Stone Xiaofeng Liu Jonghye Woo MedIm 17 27 0 14 Jan 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 38 30 0 06 Jan 2021
Artificial Dummies for Urban Dataset Augmentation Antonín Vobecký David Hurych Michal Uřičář P. Pérez Josef Sivic 3DH 21 15 0 15 Dec 2020
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
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 34 67 0 02 Dec 2020
Video Generative Adversarial Networks: A Review Nuha Aldausari Arcot Sowmya Nadine Marcus Gelareh Mohammadi EGVM 21 103 0 04 Nov 2020
Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation N. Lawrence Mingren Shen Ruiqing Yin Cloris Feng D. Morgan GAN 24 2 0 29 Oct 2020
Micro-CT Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference Hongwei Bran Li Rameshwara G. N. Prasad Anjany Sekuboyina Chen Niu S. Bai W. Hemmert Bjoern H. Menze SupR OOD MedIm 29 1 0 27 Oct 2020