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Self-Knowledge Distillation
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MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
xVLM2Vec: Adapting LVLM-based embedding models to multilinguality using Self-Knowledge Distillation
Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models
Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor
Generative Dataset Distillation Based on Self-knowledge Distillation
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots
Self-Knowledge Distillation for Learning Ambiguity
Guiding Frame-Level CTC Alignments Using Self-knowledge Distillation
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation
Weakly Supervised Monocular 3D Detection with a Single-View Image
Distilled Gradual Pruning with Pruned Fine-tuning
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation
X Modality Assisting RGBT Object Tracking
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
Double Reverse Regularization Network Based on Self-Knowledge Distillation for SAR Object Classification
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Eyelid’s Intrinsic Motion-aware Feature Learning for Real-time Eyeblink Detection in the Wild
Three Factors to Improve Out-of-Distribution Detection
Effective Whole-body Pose Estimation with Two-stages Distillation
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Incorporating Graph Information in Transformer-based AMR Parsing
Self-Knowledge Distillation for Surgical Phase Recognition
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Graph-based Knowledge Distillation: A survey and experimental evaluation
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