Cover Image

Layout-Aware Representation Learning for Open-Set ID Fraud Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jinxing, Ren, Nicholas, Chang, Cathy, Pan, Hongkai, George, Daniel
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
by: Mohan, Rohit, et al.
Published: (2025)

OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection
by: Yu, Jiaming, et al.
Published: (2023)

SetFlow: Generating Structured Sets of Representations for Multiple Instance Learning
by: Jovišić, Nikola, et al.
Published: (2026)

Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
by: Wang, Baode, et al.
Published: (2025)

Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery
by: Alam, Shahnawaz, et al.
Published: (2026)

LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning
by: Fan, Zezhong, et al.
Published: (2025)

Soft Task-Aware Routing of Experts for Equivariant Representation Learning
by: Jeon, Jaebyeong, et al.
Published: (2025)

Holistic Uncertainty Estimation For Open-Set Recognition
by: Erlygin, Leonid, et al.
Published: (2024)

GHOST: Gaussian Hypothesis Open-Set Technique
by: Rabinowitz, Ryan, et al.
Published: (2025)

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
by: Greer, Ross, et al.
Published: (2024)

SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
by: Caselli, Lorenzo, et al.
Published: (2026)

Constrained Layout Generation with Factor Graphs
by: Dupty, Mohammed Haroon, et al.
Published: (2024)

Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
by: Iwai, Shoma, et al.
Published: (2024)

Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
by: Chen, Jiayuan, et al.
Published: (2026)

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation
by: Dahary, Omer, et al.
Published: (2025)

DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction
by: Liao, Guiqiu, et al.
Published: (2026)

Large-Scale Evaluation of Open-Set Image Classification Techniques
by: Bisgin, Halil, et al.
Published: (2024)

Known Meets Unknown: Mitigating Overconfidence in Open Set Recognition
by: Zhao, Dongdong, et al.
Published: (2025)

Fast Training of Diffusion Models with Masked Transformers
by: Zheng, Hongkai, et al.
Published: (2023)

Continual Learning: Forget-free Winning Subnetworks for Video Representations
by: Kang, Haeyong, et al.
Published: (2023)

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
by: Li, Yumeng, et al.
Published: (2024)

Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
by: Dong, Hao, et al.
Published: (2024)

Dissecting Representation Misalignment in Contrastive Learning via Influence Function
by: Hu, Lijie, et al.
Published: (2024)

Financial Fraud Identification and Interpretability Study for Listed Companies Based on Convolutional Neural Network
by: Li, Xiao
Published: (2025)

MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
by: Fei, Wen, et al.
Published: (2020)

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)

X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
by: Wang, Yunzhe, et al.
Published: (2025)

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection
by: Varaganti, Manikanta, et al.
Published: (2025)

Importance-Aware Adaptive Dataset Distillation
by: Li, Guang, et al.
Published: (2024)

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
by: Chaudhari, Shravan, et al.
Published: (2025)

Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
by: Litrico, Mattia, et al.
Published: (2024)

KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures
by: Shafie, Mohammad Reza, et al.
Published: (2025)

Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness
by: Tasai, Ren, et al.
Published: (2025)

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
by: Wu, Yizhou, et al.
Published: (2026)

Attentive Graph Enhanced Region Representation Learning
by: Chen, Weiliang, et al.
Published: (2023)

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
by: Chang, Wonjoon, et al.
Published: (2023)

Deep Active Learning in the Open World
by: Xie, Tian, et al.
Published: (2024)

Learning and Leveraging World Models in Visual Representation Learning
by: Garrido, Quentin, et al.
Published: (2024)

Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024)

FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction
by: Zhang, Haoyi, et al.
Published: (2026)