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A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4375-4385

2024

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Improving Fast Adversarial Training With Prior-Guided Knowledge

IEEE transactions on pattern analysis and machine intelligence, 2024-09, Vol.46 (9), p.6367-6383

2024

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PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4835-4848

2024

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Unpacking the Gap Box Against Data-Free Knowledge Distillation

IEEE transactions on pattern analysis and machine intelligence, 2024-09, Vol.46 (9), p.6280-6291

2024

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Unified Privileged Knowledge Distillation Framework for Human Motion Prediction

IEEE transactions on circuits and systems for video technology, 2024-08, p.1-1

2024

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Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers

IEEE transactions on circuits and systems for video technology, 2024-08, p.1-1

2024

Volltextzugriff (PDF)

Uncertain Knowledge Graph Embedding Using Auxiliary Information

IEEE access, 2024-08, p.1-1

2024

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Multimodal Distillation Pre-training Model for Ultrasound Dynamic Images Annotation

IEEE journal of biomedical and health informatics, 2024-08, Vol.PP, p.1-14

2024

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The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

Volltextzugriff (PDF)

Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

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Distilled Gradual Pruning with Pruned Fine-tuning

IEEE transactions on artificial intelligence, 2024-08, Vol.5 (8), p.1-11

2024

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Vision-Language Models for Vision Tasks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2024-08, Vol.46 (8), p.5625-5644

2024

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MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.4007-4019

2024

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Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.11291-11301

2024

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Federated Continual Learning via Knowledge Fusion: A Survey

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.3832-3850

2024

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A Novel Generative Adversarial Networks via Music Theory Knowledge for Early Fault Intelligent Diagnosis of Motor Bearings

IEEE transactions on industrial electronics (1982), 2024-08, Vol.71 (8), p.9777-9788

2024

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ESDB: Expand The Shrinking Decision Boundary via One-to-Many Information Matching for Continual Learning with Small Memory

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

Volltextzugriff (PDF)

Position-Aware Relational Transformer for Knowledge Graph Embedding

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.11580-11594

2024

Volltextzugriff (PDF)

Self Pseudo Entropy Knowledge Distillation for Semi-supervised Semantic Segmentation

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

Volltextzugriff (PDF)

Robust Visual Question Answering: Datasets, Methods, and Future Challenges

IEEE transactions on pattern analysis and machine intelligence, 2024-08, Vol.46 (8), p.5575-5594

2024

Volltextzugriff (PDF)

Federal Graph Contrastive Learning with Secure Cross-Device Validation

IEEE transactions on mobile computing, 2024-08, p.1-14

2024

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Adaptive Knowledge Recomposition for Personalized Federated Learning via Discrete Wavelet Transform

IEEE internet of things journal, 2024-07, p.1-1

2024

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Communication-Efficient and Privacy-Preserving Federated Learning Via Joint Knowledge Distillation and Differential Privacy in Bandwidth-Constrained Networks

IEEE transactions on vehicular technology, 2024-07, p.1-16

2024

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Multi-level Collaborative Learning for Multi-Target Domain Adaptive Semantic Segmentation

IEEE transactions on circuits and systems for video technology, 2024-07, p.1-1

2024

Volltextzugriff (PDF)

FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning

IEEE journal on selected areas in communications, 2024-07, p.1-1

2024

Volltextzugriff (PDF)

1 – 25 von 4.763

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A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation

Improving Fast Adversarial Training With Prior-Guided Knowledge

PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

Unpacking the Gap Box Against Data-Free Knowledge Distillation

Unified Privileged Knowledge Distillation Framework for Human Motion Prediction

Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers

Uncertain Knowledge Graph Embedding Using Auxiliary Information

Multimodal Distillation Pre-training Model for Ultrasound Dynamic Images Annotation

The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework

Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement

Distilled Gradual Pruning with Pruned Fine-tuning

Vision-Language Models for Vision Tasks: A Survey

MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification

Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction

Federated Continual Learning via Knowledge Fusion: A Survey

A Novel Generative Adversarial Networks via Music Theory Knowledge for Early Fault Intelligent Diagnosis of Motor Bearings

ESDB: Expand The Shrinking Decision Boundary via One-to-Many Information Matching for Continual Learning with Small Memory

Position-Aware Relational Transformer for Knowledge Graph Embedding

Self Pseudo Entropy Knowledge Distillation for Semi-supervised Semantic Segmentation

Robust Visual Question Answering: Datasets, Methods, and Future Challenges

Federal Graph Contrastive Learning with Secure Cross-Device Validation

Adaptive Knowledge Recomposition for Personalized Federated Learning via Discrete Wavelet Transform

Communication-Efficient and Privacy-Preserving Federated Learning Via Joint Knowledge Distillation and Differential Privacy in Bandwidth-Constrained Networks

Multi-level Collaborative Learning for Multi-Target Domain Adaptive Semantic Segmentation

FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning

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