Saved in:
| Main Authors: | Du, Junliang, Dou, Shiyu, Yang, Bohuan, Hu, Jiacheng, An, Tai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.03386 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025)
by: Hu, Jiacheng, et al.
Published: (2025)
A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data
by: Hao, Ran, et al.
Published: (2025)
by: Hao, Ran, et al.
Published: (2025)
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
by: Shen, Aoran, et al.
Published: (2024)
by: Shen, Aoran, et al.
Published: (2024)
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches
by: Feng, Yinqiu, et al.
Published: (2024)
by: Feng, Yinqiu, et al.
Published: (2024)
Multi-Scale Transformer Architecture for Accurate Medical Image Classification
by: Hu, Jiacheng, et al.
Published: (2025)
by: Hu, Jiacheng, et al.
Published: (2025)
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)
by: Du, Junliang, et al.
Published: (2024)
Structured Probabilistic Coding
by: Hu, Dou, et al.
Published: (2023)
by: Hu, Dou, et al.
Published: (2023)
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
by: Sui, Mingxiu, et al.
Published: (2024)
by: Sui, Mingxiu, et al.
Published: (2024)
Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm
by: Huang, Guanming, et al.
Published: (2024)
by: Huang, Guanming, et al.
Published: (2024)
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
by: Liu, Wenyi, et al.
Published: (2024)
by: Liu, Wenyi, et al.
Published: (2024)
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
by: Liu, Houze, et al.
Published: (2024)
by: Liu, Houze, et al.
Published: (2024)
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
by: Du, Junliang, et al.
Published: (2024)
by: Du, Junliang, et al.
Published: (2024)
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
by: Han, Xu, et al.
Published: (2025)
by: Han, Xu, et al.
Published: (2025)
Improving Predictions on Highly Unbalanced Data Using Open Source Synthetic Data Upsampling
by: Krchova, Ivona, et al.
Published: (2025)
by: Krchova, Ivona, et al.
Published: (2025)
State Representation Learning Using an Unbalanced Atlas
by: Meng, Li, et al.
Published: (2023)
by: Meng, Li, et al.
Published: (2023)
Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
by: De La Fuente, Neil, et al.
Published: (2024)
by: De La Fuente, Neil, et al.
Published: (2024)
Neighbor Embeddings Using Unbalanced Optimal Transport Metrics
by: Rana, Muhammad, et al.
Published: (2025)
by: Rana, Muhammad, et al.
Published: (2025)
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
by: Yang, Junhuan, et al.
Published: (2025)
by: Yang, Junhuan, et al.
Published: (2025)
Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction
by: Hu, Jiacheng, et al.
Published: (2025)
by: Hu, Jiacheng, et al.
Published: (2025)
Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
by: Rice, James
Published: (2026)
by: Rice, James
Published: (2026)
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
by: Pardini, Emanuele, et al.
Published: (2025)
by: Pardini, Emanuele, et al.
Published: (2025)
OptiMAG: Structure-Semantic Alignment via Unbalanced Optimal Transport
by: Zuo, Yilong, et al.
Published: (2026)
by: Zuo, Yilong, et al.
Published: (2026)
A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction
by: Shen, Shiyu, et al.
Published: (2025)
by: Shen, Shiyu, et al.
Published: (2025)
Light Unbalanced Optimal Transport
by: Gazdieva, Milena, et al.
Published: (2023)
by: Gazdieva, Milena, et al.
Published: (2023)
ASSS: A Differentiable Adversarial Framework for Task-Aware Data Reduction
by: Lyu, Jiacheng, et al.
Published: (2026)
by: Lyu, Jiacheng, et al.
Published: (2026)
A Data-Driven Probabilistic Framework for Cascading Urban Risk Analysis Using Bayesian Networks
by: Kumar, Chunduru Rohith, et al.
Published: (2025)
by: Kumar, Chunduru Rohith, et al.
Published: (2025)
Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data
by: Qi, Yijiashun, et al.
Published: (2025)
by: Qi, Yijiashun, et al.
Published: (2025)
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data
by: He, Weijie, et al.
Published: (2024)
by: He, Weijie, et al.
Published: (2024)
Robust Prediction Model for Multidimensional and Unbalanced Datasets
by: Thakar, Pooja, et al.
Published: (2024)
by: Thakar, Pooja, et al.
Published: (2024)
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression
by: Lyu, Junliang, et al.
Published: (2024)
by: Lyu, Junliang, et al.
Published: (2024)
AdaMuS: Adaptive Multi-view Sparsity Learning for Dimensionally Unbalanced Data
by: Xu, Cai, et al.
Published: (2026)
by: Xu, Cai, et al.
Published: (2026)
A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques
by: Ledaguenel, Arthur, et al.
Published: (2024)
by: Ledaguenel, Arthur, et al.
Published: (2024)
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
by: Lyu, Shuyan, et al.
Published: (2025)
by: Lyu, Shuyan, et al.
Published: (2025)
Slicing Unbalanced Optimal Transport
by: Bonet, Clément, et al.
Published: (2023)
by: Bonet, Clément, et al.
Published: (2023)
Protected Probabilistic Classification Library
by: Petej, Ivan
Published: (2025)
by: Petej, Ivan
Published: (2025)
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery
by: Semnani, Parastoo, et al.
Published: (2024)
by: Semnani, Parastoo, et al.
Published: (2024)
From Narratives to Probabilistic Reasoning: Predicting and Interpreting Drivers' Hazardous Actions in Crashes Using Large Language Model
by: Chen, Boyou, et al.
Published: (2025)
by: Chen, Boyou, et al.
Published: (2025)
Conditional Unbalanced Optimal Transport Maps: An Outlier-Robust Framework for Conditional Generative Modeling
by: Yoon, Jiwoo, et al.
Published: (2026)
by: Yoon, Jiwoo, et al.
Published: (2026)
GCFX: Generative Counterfactual Explanations for Deep Graph Models at the Model Level
by: Hu, Jinlong, et al.
Published: (2026)
by: Hu, Jinlong, et al.
Published: (2026)
Similar Items
-
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025) -
A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data
by: Hao, Ran, et al.
Published: (2025) -
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
by: Shen, Aoran, et al.
Published: (2024) -
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches
by: Feng, Yinqiu, et al.
Published: (2024) -
Multi-Scale Transformer Architecture for Accurate Medical Image Classification
by: Hu, Jiacheng, et al.
Published: (2025)