NIPS 2016 Tutorial: Generative Adversarial Networks

31 December 2016

Papers citing "NIPS 2016 Tutorial: Generative Adversarial Networks"

50 / 247 papers shown

Title
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals Dena F. Mujtaba Nihar R. Mahapatra 9 0 0 17 May 2025
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 60 3 0 02 May 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 61 3 0 18 Mar 2025
On the Mode-Seeking Properties of Langevin Dynamics Xiwei Cheng Kexin Fu Farzan Farnia 69 0 0 08 Jan 2025
Distilling Diffusion Models into Conditional GANs Minguk Kang Richard Zhang Connelly Barnes Sylvain Paris Suha Kwak Jaesik Park Eli Shechtman Jun-Yan Zhu Taesung Park 46 37 0 09 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 41 1 0 29 Apr 2024
Dealing with unbounded gradients in stochastic saddle-point optimization Gergely Neu Nneka Okolo 39 3 0 21 Feb 2024
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN) A. Regadío Luis Esteban S. Sánchez-Prieto GAN 42 2 0 10 Jan 2024
Robust Survival Analysis with Adversarial Regularization Michael Potter Stefano Maxenti Michael Everett AAML 24 0 0 26 Dec 2023
Improved Data Generation for Enhanced Asset Allocation: A Synthetic Dataset Approach for the Fixed Income Universe Szymon Kubiak Tillman Weyde Oleksandr Galkin Daniel Philps Ram Gopal 32 1 0 27 Nov 2023
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models Jiajie Fan L. Vuaille Thomas Bäck Hao Wang DiffM 18 6 0 19 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 13 1 0 02 Nov 2023
Subjective Face Transform using Human First Impressions Chaitanya Roygaga Joshua Krinsky Kai Zhang Kenny Kwok Aparna Bharati CVBM 46 0 0 27 Sep 2023
Physics-guided training of GAN to improve accuracy in airfoil design synthesis Kazunari Wada Katsuyuki Suzuki Kazuo Yonekura AI4CE 32 11 0 19 Aug 2023
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment Yasin Shokrollahi Pengfei Dong Xianqi Li Linxia Gu MedIm 27 3 0 03 Aug 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 27 5 0 19 Jul 2023
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis Abdallah Alshantti Damiano Varagnolo Adil Rasheed Aria Rahmati Frank Westad 24 6 0 01 Jul 2023
Procedural content generation of puzzle games using conditional generative adversarial networks Andreas Hald J. Hansen J. Kristensen Paolo Burelli GAN 22 14 0 26 Jun 2023
DiffCap: Exploring Continuous Diffusion on Image Captioning Yufeng He Zefan Cai Xu Gan Baobao Chang DiffM 34 5 0 20 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation Edgardo Solano-Carrillo Jannis Stoppe 18 0 0 19 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning Zhiwen Zuo Lei Zhao Ailin Li Zhizhong Wang Zhanjie Zhang Jiafu Chen Wei Xing Dongming Lu 45 19 0 23 Mar 2023
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment Minkyu Jeon Hyeon-Jin Park Hyunwoo J. Kim Michael Morley Hyunghoon Cho MedIm 34 4 0 20 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 32 28 0 03 Mar 2023
Modeling the Rhythm from Lyrics for Melody Generation of Pop Song Daiyu Zhang Ju-Chiang Wang Katerina Kosta Jordan B. L. Smith Shicen Zhou 26 3 0 03 Jan 2023
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics Peter Kowalczyk Giacomo Welsch Frédéric Thiesse 36 2 0 05 Dec 2022
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 35 21 0 01 Dec 2022
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime Yuqing Gao Pengyuan Zhai K. Mosalam GAN AI4CE 32 76 0 29 Nov 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 30 16 0 27 Nov 2022
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization Xiang Li Junchi Yang Niao He 29 8 0 31 Oct 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data Raffaele Marchesi Nicolo Micheletti Giuseppe Jurman V. Osmani AI4TS 37 5 0 25 Oct 2022
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models Ricardo Kleinlein Cristina Luna Jiménez Fernando Fernández-Martínez DiffM 23 3 0 19 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach Dong Chen Xinda Qi Yu Zheng Yuzhen Lu Zhao Li DiffM 26 15 0 18 Oct 2022
Learning Social Navigation from Demonstrations with Conditional Neural Processes Yigit Yildirim Emre Ugur 24 8 0 07 Oct 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation Junyoung Seo Gyuseong Lee Seokju Cho Jiyoung Lee Seung Wook Kim DiffM 38 27 0 22 Sep 2022
Virtual Underwater Datasets for Autonomous Inspections Ioannis Polymenis M. Haroutunian R. Norman D. Trodden 19 7 0 13 Sep 2022
Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis Jueqi Wang Derek Berger Erin L. Mazerolle O. Soufan J. Levman 19 1 0 09 Sep 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 35 57 0 18 Aug 2022
Do Quantum Circuit Born Machines Generalize? Kaitlin Gili Mohamed Hibat-Allah M. Mauri C. Ballance A. Perdomo-Ortiz 33 29 0 27 Jul 2022
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods Julian Schon Raghavendra Selvan Jens Petersen MedIm 26 4 0 20 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 12 0 14 Jul 2022
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers Daniel Bogdoll Meng Zhang Maximilian Nitsche J. Marius Zöllner 17 1 0 13 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 20 7 0 06 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 34 3 0 28 Jun 2022
On Scaled Methods for Saddle Point Problems Aleksandr Beznosikov Aibek Alanov D. Kovalev Martin Takáč Alexander Gasnikov 35 4 0 16 Jun 2022
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization Junchi Yang Xiang Li Niao He ODL 40 22 0 01 Jun 2022
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups Kevin Kamm M. Muniz 25 3 0 31 May 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization Yihang Gao Huafeng Liu Michael K. Ng Mingjie Zhou 25 2 0 23 May 2022