← Application Areas

Machine Learning › Application Areas ›

Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence AAAI 2026

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization AAAI 2026

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts AAAI 2026

Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026

Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026

C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models AAAI 2026

AgentODRL: A Large Language Model-based Multi-agent System for ODRL Generation AAAI 2026

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026

Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer AAAI 2026

EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026

FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation AAAI 2026

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026

Dual-Kernel Graph Community Contrastive Learning AAAI 2026

DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks AAAI 2026

Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026

REACTION: Parameter-Efficient Learning for Recommendation AAAI 2026

Adaptive-Smooth LiDAR-Camera Knowledge Distillation with Heterogeneous Fusion for Multi-View 3D Object Detection AAAI 2026

Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution AAAI 2026

Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices AAAI 2026

Improving LLM’s Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization AACL 2025

Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation WACV 2025