:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Duy A., Do, Quan Huu, Doan, Khoa D., Do, Minh N.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2504.13465
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
by: Nguyen, Duy A., et al.
Published: (2025)

Reviving Error Correction in Modern Deep Time-Series Forecasting
by: Nguyen, Minh Hoang, et al.
Published: (2026)

Learning Structural Causal Models from Ordering: Identifiable Flow Models
by: Le, Minh Khoa, et al.
Published: (2024)

C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
by: Kamboj, Abhi, et al.
Published: (2024)

Cold-start Recommendation by Personalized Embedding Region Elicitation
by: Nguyen, Hieu Trung, et al.
Published: (2024)

DPERC: Direct Parameter Estimation for Mixed Data
by: Vo, Tuan L., et al.
Published: (2025)

SAMSA: Efficient Transformer for Many Data Modalities
by: Lenhat, Minh, et al.
Published: (2024)

SPAR: Session-based Pipeline for Adaptive Retrieval on Legacy File Systems
by: Nguyen, Duy A., et al.
Published: (2025)

Deep Learning-based Prediction of Clinical Trial Enrollment with Uncertainty Estimates
by: Do, Tien Huu, et al.
Published: (2025)

Towards Achieving Perfect Multimodal Alignment
by: Kamboj, Abhi, et al.
Published: (2025)

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
by: Nguyen, Phuc Minh, et al.
Published: (2025)

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
by: Le, Hung, et al.
Published: (2025)

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
by: Le, Huy Q., et al.
Published: (2024)

SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
by: Quan, Xuan-Truong, et al.
Published: (2025)

A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
by: Kamboj, Abhi, et al.
Published: (2024)

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities
by: Yu, Kai, et al.
Published: (2026)

Embracing Aleatoric Uncertainty in Medical Multimodal Learning with Missing Modalities
by: Gong, Linxiao, et al.
Published: (2026)

Discrete Diffusion Language Model for Efficient Text Summarization
by: Dat, Do Huu, et al.
Published: (2024)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)

Retrospective Feature Estimation for Continual Learning
by: Nguyen, Nghia D., et al.
Published: (2024)

BoMGene: Integrating Boruta-mRMR feature selection for enhanced Gene expression classification
by: Phan, Bich-Chung, et al.
Published: (2025)

UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
by: Sui, Hangke, et al.
Published: (2026)

Revisiting Kernel Attention with Correlated Gaussian Process Representation
by: Bui, Long Minh, et al.
Published: (2025)

Domain-Adapted Fine-Tuning of ECG Foundation Models for Multi-Label Structural Heart Disease Screening
by: Do, Duc N., et al.
Published: (2026)

Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
by: Nguyen, The-Hai, et al.
Published: (2025)

Unveiling Concept Attribution in Diffusion Models
by: Nguyen, Quang H., et al.
Published: (2024)

BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification
by: Phan, Bich-Chung, et al.
Published: (2025)

Equivariant Polynomial Functional Networks
by: Vo, Thieu N., et al.
Published: (2024)

Equivariant Neural Functional Networks for Transformers
by: Tran, Viet-Hoang, et al.
Published: (2024)

R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
by: Hoang, Trung-Hieu, et al.
Published: (2024)

Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road
by: Nguyen, Ngoc-Hieu, et al.
Published: (2026)

Strong identifiability and parameter learning in regression with heterogeneous response
by: Do, Dat, et al.
Published: (2022)

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
by: Nguyen, Tuan, et al.
Published: (2025)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
by: Nguyen, Minh-Duong, et al.
Published: (2025)

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
by: Nguyen, Cuong V., et al.
Published: (2023)

Does Continued Pretraining on a Learner Corpus Improve Automated Essay Scoring on English Proficiency Tests? Evidence from EFCAMDAT
by: Nguyen, Duy Anh
Published: (2026)

MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
by: Nguyen, Quang H., et al.
Published: (2024)

Sampling Foundational Transformer: A Theoretical Perspective
by: Nguyen, Viet Anh, et al.
Published: (2024)

LLMPerf: GPU Performance Modeling meets Large Language Models
by: Nguyen, Khoi N. M., et al.
Published: (2025)