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Knowledge Distillation

2907 directly classified papers

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Papers

COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion NAACL 2024
FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions WACV 2024
Gradient-Guided Knowledge Distillation for Object Detectors WACV 2024
Offline-to-Online Knowledge Distillation for Video Instance Segmentation WACV 2024
Efficient Feature Distillation for Zero-Shot Annotation Object Detection WACV 2024
Rethinking Knowledge Distillation With Raw Features for Semantic Segmentation WACV 2024
BPKD: Boundary Privileged Knowledge Distillation for Semantic Segmentation WACV 2024
Guided Distillation for Semi-Supervised Instance Segmentation WACV 2024
Reverse Knowledge Distillation: Training a Large Model Using a Small One for Retinal Image Matching on Limited Data WACV 2024
SDNet: An Extremely Efficient Portrait Matting Model via Self-Distillation WACV 2024
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation IJCAI 2024
Frequency Attention for Knowledge Distillation WACV 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction IJCAI 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 2024
Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024
Distilled Datamodel with Reverse Gradient Matching CVPR 2024
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation EMNLP 2024
Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications EMNLP 2024
RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine EMNLP 2024
INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024
MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation NAACL 2024
ToXCL: A Unified Framework for Toxic Speech Detection and Explanation NAACL 2024