Cover Image

MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jian, Lan, Xin, Tian, Yuxin, Lv, Jiancheng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
by: Zhou, Yuhao, et al.
Published: (2025)

HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork
by: Lv, Jindi, et al.
Published: (2025)

Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data
by: Zhang, Jiancheng, et al.
Published: (2025)

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
by: Zhou, Yuhao, et al.
Published: (2025)

Multimodal Information Fusion for Chart Understanding: A Survey of MLLMs -- Evolution, Limitations, and Cognitive Enhancement
by: Yi, Zhihang, et al.
Published: (2026)

Style Quantization for Data-Efficient GAN Training
by: Wang, Jian, et al.
Published: (2025)

A Transformer-Based Conditional GAN with Multiple Instance Learning for UAV Signal Detection and Classification
by: Liu, Haochen, et al.
Published: (2025)

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training
by: Hu, Pingbang, et al.
Published: (2026)

FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
by: Wen, Tian, et al.
Published: (2026)

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN
by: Wang, Lin, et al.
Published: (2025)

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing
by: Zhou, Yuhao, et al.
Published: (2025)

HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
by: Goni, Osman, et al.
Published: (2025)

Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
by: Rehman, Danyal, et al.
Published: (2025)

Multi-Path Collaborative Reasoning via Reinforcement Learning
by: Lv, Jindi, et al.
Published: (2025)

Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
by: Liu, Yongshuai, et al.
Published: (2025)

Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research
by: Lan, Tian, et al.
Published: (2024)

Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
by: Liang, Xinyu, et al.
Published: (2025)

Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
by: Liang, Xinyu, et al.
Published: (2024)

HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers
by: Wang, Yifeng, et al.
Published: (2025)

Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models
by: Wu, Jiang, et al.
Published: (2024)

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
by: Huang, Wei, et al.
Published: (2025)

AIS-CycleGen: A CycleGAN-Based Framework for High-Fidelity Synthetic AIS Data Generation and Augmentation
by: Zaman, SM Ashfaq uz, et al.
Published: (2026)

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
by: Lei, Zhenyu, et al.
Published: (2024)

Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training
by: Han, Zhenyu, et al.
Published: (2025)

Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
by: Huang, Chen, et al.
Published: (2024)

PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
by: Zhang, Jiayu, et al.
Published: (2025)

Gradient Flow Drifting: Generative Modeling via Wasserstein Gradient Flows of KDE-Approximated Divergences
by: Cao, Jiarui, et al.
Published: (2026)

REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)

GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease
by: Zhang, Qian, et al.
Published: (2025)

MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
by: Wang, Jiapeng, et al.
Published: (2026)

Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)

Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision
by: Tian, Yuxing, et al.
Published: (2026)

cGAN-Based High Dimensional IMU Sensor Data Generation for Enhanced Human Activity Recognition in Therapeutic Activities
by: Mohammadzadeh, Mohammad, et al.
Published: (2023)

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
by: Wang, Boxiao, et al.
Published: (2026)

A Comedy of Estimators: On KL Regularization in RL Training of LLMs
by: Shah, Vedant, et al.
Published: (2025)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

Flow-Based Policy for Online Reinforcement Learning
by: Lv, Lei, et al.
Published: (2025)

Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
by: Getu, Tilahun M., et al.
Published: (2023)

Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2025)