This graph showcases various models and tasks, each cited with relevant research papers. Below, find detailed information about each model and task, accompanied by their respective Refs.

• Task: Data Augmentation - Object Detection. Ref: Data Augmentation for Intelligent Mechanical Fault Diagnosis Based on Local Shared Multiple-Generator GAN

• Task: Conetent Generation - Image. Ref: MCL-GAN: Generative Adversarial Networkswith Multiple Specialized Discriminators

• Task: Conetent Generation - Image. Ref: Megan: Mixture of experts of generative adversarial networks for multimodal image generation

• Task: Speech Enhancement; Conetent Generation - Audio. Ref: Perceptual Loss Function for Speech Enhancement Based on Generative Adversarial Learning

• Task: Continual Learning. Ref: Mixture-of-Variational-Experts for Continual Learning

• Task: Behaviour Analysis - Anomaly Detection. Ref: Mixture of experts with convolutional and variational autoencoders for anomaly detection

• Task: Cross Modality Content Generation. Ref: Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

• Task: Conetent Generation - Image. Ref: Ernie-vilg 2.0: Improving text-to-image diffusion model with knowledge-enhanced mixture-of-denoising-experts

• Task: Super Resolution. Ref: Image super-resolution via latent diffusion: A sampling-space mixture of experts and frequency-augmented decoder approach

• Task: Conetent Generation - Image. Ref: RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths

• Task: Knowledge Domain Shift; Prompt enhancement. Ref: Diversifying content generation for commonsense reasoning with mixture of knowledge graph experts

• Task: Model Acceleration. Ref: DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

• Task: Conetent Generation - Image. Ref: STABLEMOE: Stable Routing Strategy for Mixture of Experts

• Task: Model Acceleration; Conetent Generation - Image. Ref: M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

• Task: Image Classification. Ref: Scaling Vision with Sparse Mixture of Experts