:: Library Catalog

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Opis bibliograficzny
Główni autorzy:	Nguyen, Cuong V., Do, Cuong D.
Format:	Preprint
Wydane:	2024
Hasła przedmiotowe:	Machine Learning Computer Vision and Pattern Recognition
Dostęp online:	https://arxiv.org/abs/2402.02021
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Podobne zapisy

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
od: Nguyen, Cuong V., i wsp.
Wydane: (2023)

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
od: Nguyen, Cuong V., i wsp.
Wydane: (2025)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
od: Pham, Cuong, i wsp.
Wydane: (2024)

Sequence Transferability and Task Order Selection in Continual Learning
od: Nguyen, Thinh, i wsp.
Wydane: (2025)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
od: Pham, Cuong, i wsp.
Wydane: (2024)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
od: Hoang, Dung Anh, i wsp.
Wydane: (2022)

Coverage-Constrained Human-AI Cooperation with Multiple Experts
od: Zhang, Zheng, i wsp.
Wydane: (2024)

Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
od: Le, Khiem, i wsp.
Wydane: (2024)

Learning in the Null Space: Small Singular Values for Continual Learning
od: Pham, Cuong Anh, i wsp.
Wydane: (2026)

Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
od: Nguyen, Duc-Anh, i wsp.
Wydane: (2023)

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
od: Le, Khiem, i wsp.
Wydane: (2024)

Sharpness-Aware Data Generation for Zero-shot Quantization
od: Hoang-Anh, Dung, i wsp.
Wydane: (2025)

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
od: Hoang, Dung Anh, i wsp.
Wydane: (2026)

Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
od: Hoang, Cuong Manh, i wsp.
Wydane: (2025)

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques
od: Bui, Bao Q., i wsp.
Wydane: (2024)

Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy
od: Hurry, Christian John, i wsp.
Wydane: (2025)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
od: Nguyen, Lan-Cuong, i wsp.
Wydane: (2025)

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
od: Hong, Dang Nguyen, i wsp.
Wydane: (2026)

VIBR: Learning View-Invariant Value Functions for Robust Visual Control
od: Dupuis, Tom, i wsp.
Wydane: (2023)

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
od: Le, Khiem H., i wsp.
Wydane: (2022)

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
od: Nguyen, Kien, i wsp.
Wydane: (2025)

Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
od: Le, Van-Duc, i wsp.
Wydane: (2023)

Learning to Complement with Multiple Humans
od: Zhang, Zheng, i wsp.
Wydane: (2023)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
od: Garg, Arpit, i wsp.
Wydane: (2023)

DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
od: Neifar, Nour, i wsp.
Wydane: (2023)

Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
od: Özdemir, Zeynep, i wsp.
Wydane: (2024)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
od: Garg, Arpit, i wsp.
Wydane: (2023)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
od: Garg, Arpit, i wsp.
Wydane: (2025)

Long-Tailed Learning for Generalized Category Discovery
od: Hoang, Cuong Manh
Wydane: (2025)

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization
od: Shivashankara, Kshama Kodthalu, i wsp.
Wydane: (2023)

Deep Transfer Learning for Kidney Cancer Diagnosis
od: Habchi, Yassine, i wsp.
Wydane: (2024)

Attention Transfer Is Not Universally Effective for Vision Transformers
od: Qin, Huaiyuan, i wsp.
Wydane: (2026)

k-NN as a Simple and Effective Estimator of Transferability
od: Sorkhei, Moein, i wsp.
Wydane: (2025)

Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
od: Nguyen, Duy A., i wsp.
Wydane: (2025)

Can virtual staining for high-throughput screening generalize?
od: Tonks, Samuel, i wsp.
Wydane: (2024)

Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
od: Mehrizi, Rahil, i wsp.
Wydane: (2023)

Improving Diversity in Black-box Few-shot Knowledge Distillation
od: Vo, Tri-Nhan, i wsp.
Wydane: (2026)

ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics
od: Parvan, Milad
Wydane: (2026)

Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
od: Vusirikala, Srivishnu, i wsp.
Wydane: (2024)

Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand
od: Gupta, Hari Prabhat, i wsp.
Wydane: (2024)