Latest
- Simple and Fast Distillation of Diffusion Models
- On the Trajectory Regularity of ODE-based Diffusion Sampling
- Online Adversarial Knowledge Distillation for Graph Neural Networks
- Fast Ode-based Sampling for Diffusion Models in Around 5 Steps
- Accelerating Diffusion Sampling with Classifier-based Feature Distillation
- Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning
- Customizing Synthetic Data for Data-Free Student Learning
- Holistic Weighted Distillation for Semantic Segmentation
- Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision
- Knowledge Distillation with Deep Supervision
- Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks
- Knowledge Distillation with the Reused Teacher Classifier
- Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
- Confidence-Aware Multi-Teacher Knowledge Distillation
- JointE: Jointly Utilizing 1D And 2D Convolution for Knowledge Graph Embedding
- Distilling Holistic Knowledge with Graph Neural Networks
- Cross-Layer Distillation with Semantic Calibration
- Online Knowledge Distillation with Diverse Peers