Image de couverture de livre

CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Zeyang, Li, Shengxi, Mandic, Danilo
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GO4Align: Group Optimization for Multi-Task Alignment
par: Shen, Jiayi, et autres
Publié: (2024)

Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
par: Kumano, Soichiro, et autres
Publié: (2025)

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
par: Zhang, Yechao, et autres
Publié: (2025)

PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
par: Yu, Dazhou, et autres
Publié: (2025)

Are Sparse Neural Networks Better Hard Sample Learners?
par: Xiao, Qiao, et autres
Publié: (2024)

JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
par: Zheng, Haolun, et autres
Publié: (2026)

EMCNet : Graph-Nets for Electron Micrographs Classification
par: Srinivas, Sakhinana Sagar, et autres
Publié: (2024)

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling
par: Srivastava, Akash, et autres
Publié: (2020)

Network Inversion of Convolutional Neural Nets
par: Suhail, Pirzada, et autres
Publié: (2024)

GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis
par: Chaudhari, Prasad, et autres
Publié: (2024)

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
par: Gutbrod, Max, et autres
Publié: (2025)

SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
par: Liang, Feng, et autres
Publié: (2022)

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
par: Kotyan, Shashank, et autres
Publié: (2023)

Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
par: Liu, Yewei, et autres
Publié: (2025)

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation
par: Li, Haoran, et autres
Publié: (2026)

CIP-Net: Continual Interpretable Prototype-based Network
par: Di Valerio, Federico, et autres
Publié: (2025)

DeNetDM: Debiasing by Network Depth Modulation
par: Sreelatha, Silpa Vadakkeeveetil, et autres
Publié: (2024)

Constant Rate Scheduling: A General Framework for Optimizing Diffusion Noise Schedule via Distributional Change
par: Okada, Shuntaro, et autres
Publié: (2024)

Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models
par: Kotyan, Shashank, et autres
Publié: (2024)

Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
par: Zhang, Ziwei, et autres
Publié: (2021)

AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval
par: Zhang, Sihe, et autres
Publié: (2024)

Discrete Distribution Networks
par: Yang, Lei
Publié: (2023)

Graph Neural Networks for Surgical Scene Segmentation
par: Li, Yihan, et autres
Publié: (2025)

DyCAF-Net: Dynamic Class-Aware Fusion Network
par: Jahin, Md Abrar, et autres
Publié: (2025)

SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection
par: Qi, Ruo, et autres
Publié: (2026)

Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
par: Demirbilek, Oytun, et autres
Publié: (2024)

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention
par: Jahin, Md Abrar, et autres
Publié: (2025)

Sparse Domain Transfer via Elastic Net Regularization
par: Zhang, Jingwei, et autres
Publié: (2024)

Adaptive Sample-Level Framework Motivated by Distributionally Robust Optimization with Variance-Based Radius Assignment for Enhanced Neural Network Generalization Under Distribution Shift
par: Sravon, Aheer, et autres
Publié: (2025)

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
par: Wallin, Erik, et autres
Publié: (2025)

Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks
par: Sargolzaei, Saleh, et autres
Publié: (2024)

MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network
par: Pei, Chenping, et autres
Publié: (2025)

A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification
par: Li, Yangyang, et autres
Publié: (2025)

UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
par: Lucke, Kyle, et autres
Publié: (2026)

Autoencoder Models for Point Cloud Environmental Synthesis from WiFi Channel State Information: A Preliminary Study
par: Pannone, Daniele, et autres
Publié: (2025)

Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
par: Nie, Qiang, et autres
Publié: (2024)

Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
par: Vladymyrov, Max, et autres
Publié: (2023)

From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
par: Wu, Nannan, et autres
Publié: (2024)

STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising
par: Liu, Jingjing, et autres
Publié: (2025)

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
par: Ji, Yingrui, et autres
Publié: (2024)