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Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

Driving with Advice: Large Model as Motion Advisor for Joint Planning AAAI 2026
Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation AAAI 2026
Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access AAAI 2026
A Closer Look at Knowledge Distillation in Spiking Neural Network Training AAAI 2026
Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy AAAI 2026
Dual-Teacher Interactive Knowledge Distillation Network for Text-to-Visible & Infrared Person Retrieval AAAI 2026
Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026
Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency 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
REACTION: Parameter-Efficient Learning for Recommendation AAAI 2026
PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks AAAI 2026
Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026
rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality AAAI 2026
SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization AAAI 2026
Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026
Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026
Re-architecting Personalized Federated Learning for Demanding Edge Environments 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
Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation IJCAI 2025