:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Yawen, Sun, Jiande, Li, Jing, Zhang, Huaxiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.02104
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Dong, Pengcheng, et al.
Published: (2025)

Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025)

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
by: Zhang, Miao, et al.
Published: (2024)

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
by: Ma, Chenchen, et al.
Published: (2021)

Latent Variable Sequence Identification for Cognitive Models with Neural Network Estimators
by: Pan, Ti-Fen, et al.
Published: (2024)

Enhancing Latent Computation in Transformers with Latent Tokens
by: Sun, Yuchang, et al.
Published: (2025)

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
by: Zhang, Yunfei, et al.
Published: (2023)

Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling
by: Zheng, Hang, et al.
Published: (2025)

Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection
by: Zhang, Tianlin, et al.
Published: (2025)

Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models
by: Narain, Anish, et al.
Published: (2025)

Nonparametric Identification of Latent Concepts
by: Zheng, Yujia, et al.
Published: (2025)

Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis
by: Lang, Yicheng, et al.
Published: (2025)

Learning Discrete Concepts in Latent Hierarchical Models
by: Kong, Lingjing, et al.
Published: (2024)

Generative Cognitive Diagnosis
by: Li, Jiatong, et al.
Published: (2025)

Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation
by: Zhu, Jiaqi, et al.
Published: (2026)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)

Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning
by: Zhang, Jing, et al.
Published: (2023)

Disentangled Knowledge Tracing for Alleviating Cognitive Bias
by: Zhou, Yiyun, et al.
Published: (2025)

Enhancing Knowledge Tracing with Concept Map and Response Disentanglement
by: Park, Soonwook, et al.
Published: (2024)

SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
by: Zeng, E. Zhixuan, et al.
Published: (2025)

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
by: Yu, Xiaowei, et al.
Published: (2025)

PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis
by: Zhang, Kunyu, et al.
Published: (2026)

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
by: Shao, Pengyang, et al.
Published: (2024)

Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping
by: Wei, Yuan-Hao, et al.
Published: (2024)

Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models
by: Belhasin, Omer, et al.
Published: (2024)

MetaKube: An Experience-Aware LLM Framework for Kubernetes Failure Diagnosis
by: Sun, Wei, et al.
Published: (2026)

CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
by: Zhou, Zhongzhu, et al.
Published: (2026)

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
by: Sun, Mengyu, et al.
Published: (2026)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025)

Stable Vision Concept Transformers for Medical Diagnosis
by: Hu, Lijie, et al.
Published: (2025)

Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)

Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning
by: Ling, Chih Wei, et al.
Published: (2025)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
by: Zhang, Dacao, et al.
Published: (2024)

Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts
by: Ye, Naimeng, et al.
Published: (2024)

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
by: Luo, Xindi, et al.
Published: (2024)

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
by: Li, Yanhui, et al.
Published: (2025)

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)

Unified Uncertainty Estimation for Cognitive Diagnosis Models
by: Wang, Fei, et al.
Published: (2024)

Semantics-Aware Caching for Concept Learning
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2026)