Generative Adversarial

Generative Adversarial Networks (GANs) are a class of machine learning models designed to generate new data instances that resemble a training dataset. Current research focuses on improving GAN performance and stability across diverse applications, including image enhancement, speech synthesis, and data augmentation, often employing architectures like HiFi-GAN and variations of GANs combined with other neural network types (e.g., autoencoders, transformers). This work is significant due to GANs' ability to address data scarcity issues, improve the quality of synthetic data for various tasks, and enhance the robustness of AI systems against adversarial attacks.

Papers

June 23, 2022

EFFGAN: Ensembles of fine-tuned federated GANs
Ebba Ekblom, Edvin Listo Zec, Olof Mogren
Federated Learning High Dimensional Adversarial Learning Generative Question Diverse Ensemble Generative Adversarial

June 20, 2022

WOLONet: Wave Outlooker for Efficient and High Fidelity Speech Synthesis
Yi Wang, Yi Si
High Efficiency Speech Synthesis Generative Adversarial Neural Vocoder High Fidelity Vocoder Wave Prediction

June 15, 2022

NatiQ: An End-to-end Text-to-Speech System for Arabic
Ahmed Abdelali, Nadir Durrani, Cenk Demiroglu, Fahim Dalvi, Hamdy Mubarak, Kareem Darwish
End to End Generative Adversarial Arabic Speaker Speech Synthesizer

June 9, 2022

June 3, 2022

The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images
Zhengyu Zhao, Nga Dang, Martha Larson
Real World Importance Aware Generative Adversarial Complex Pattern Adversarial Image Realistic Adversarial

May 31, 2022

Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
Alexander Henkes, Henning Wessels
Context Information Generative Adversarial Microstructure Model 3D Microstructures

May 29, 2022

A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare
Yuxuan Li, Ying Lin, Chenang Liu
Generative Adversarial Network Financial Application Constructive Approach Generative Adversarial Personalized Treatment Selective Ensemble

May 20, 2022

Towards Consistency in Adversarial Classification
Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Adversarial Example Strong Consistency Generative Adversarial Adversarial Framework Adversarial Consistency

May 6, 2022

Generative Adversarial Neural Operators
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
Generative Adversarial Network Generative Adversarial

April 27, 2022

The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim
Generative Adversarial Adversarial Risk Learning Problem Optimal Adversarial Multi Marginal Optimal Transport Barycenter Driven Localization

April 26, 2022

Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks
Jiawei Zhang, Jinwei Wang, Hao Wang, Xiangyang Luo
Adversarial Attack Adversarial Example Social Network Generative Adversarial Protection Mechanism

April 12, 2022

A Post Auto-regressive GAN Vocoder Focused on Spectrum Fracture
Zhenxing Lu, Mengnan He, Ruixiong Zhang, Caixia Gong
Generative Adversarial Network Speech Synthesis Generative Question Generative Adversarial Speech Signal Time to Spectrum POST Exploration

April 7, 2022

Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat KC, Rongping Zeng, Mark A. Anastasio
Generative Model Generative Adversarial Network Medical Imaging Generative Adversarial Medical Image Synthesis Stochastic Network Evaluation Practice

March 29, 2022

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning
Zhishe Wang, Wenyu Shao, Yanlin Chen, Jiawei Xu, Xiaoqin Zhang
Generative Adversarial Network Generative Adversarial Attention Module Richer RGB Infrared Feature Visible Image Fusion

March 22, 2022

Network state Estimation using Raw Video Analysis: vQoS-GAN based non-intrusive Deep Learning Approach
Renith G, Harikrishna Warrier, Yogesh Gupta
Generative Adversarial Network Generative Adversarial Degraded Image Non Intrusive Raw Video

March 21, 2022

FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic
Sankha Das
Generative Adversarial Network Anomaly Detection Adversarial Training Generative Adversarial Network Traffic Availability Attack

March 20, 2022

ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis
Jinlong Xue, Yayue Deng, Yichen Han, Ya Li, Jianqing Sun, Jiaen Liang
Speech Synthesis Generative Adversarial Speech Encoder Ecapa TDNN

March 18, 2022

AdaVocoder: Adaptive Vocoder for Custom Voice
Xin Yuan, Yongbing Feng, Mingming Ye, Cheng Tuo, Minghang Zhang
Generative Adversarial Vocoder Model

March 12, 2022

GATSBI: Generative Adversarial Training for Simulation-Based Inference
Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke
Generative Adversarial Network Generative Adversarial Simulation Based Inference Implicit Prior De Finetti

Generative Adversarial

Papers

EFFGAN: Ensembles of fine-tuned federated GANs

WOLONet: Wave Outlooker for Efficient and High Fidelity Speech Synthesis

NatiQ: An End-to-end Text-to-Speech System for Arabic

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint

The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images

Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics

A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare

Towards Consistency in Adversarial Classification

Generative Adversarial Neural Operators

The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification

Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

A Post Auto-regressive GAN Vocoder Focused on Spectrum Fracture

Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning

Network state Estimation using Raw Video Analysis: vQoS-GAN based non-intrusive Deep Learning Approach

FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic

ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis

AdaVocoder: Adaptive Vocoder for Custom Voice

GATSBI: Generative Adversarial Training for Simulation-Based Inference