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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring
AAAI 2026
HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition
AAAI 2026
Towards Long-window Anchoring in Vision-Language Model Distillation
AAAI 2026
GlitchCleaner: Lightweight Glitch Tokens Repairing by Lossless Gated LoRA in Large Language Models
AAAI 2026
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
AAAI 2026
Flow-Based Knowledge Transfer for Efficient Large Model Distillation
AAAI 2026
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026
Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation
AAAI 2026
FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning
AAAI 2026
MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
AAAI 2026
Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge
AAAI 2026
Post Training Quantization for Efficient Dataset Condensation
AAAI 2026
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
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