Co-occurring keywords · papers mentioning both
Papers
Does Knowledge Distillation Really Work?
NeurIPS 2021
Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation
ICCV 2021
Knowledge distillation via softmax regression representation learning
ICLR 2021
Learning Student Networks in the Wild
CVPR 2021
Lipschitz Continuity Guided Knowledge Distillation
ICCV 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
NeurIPS 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
ACL 2021
Self-boosting for Feature Distillation
IJCAI 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
ICML 2021
Few Sample Knowledge Distillation for Efficient Network Compression
CVPR 2020
Hierarchical Knowledge Squeezed Adversarial Network Compression
AAAI 2020
Improved Knowledge Distillation via Teacher Assistant
AAAI 2020
Inter-Region Affinity Distillation for Road Marking Segmentation
CVPR 2020
Learning Student Networks with Few Data
AAAI 2020
A Comprehensive Overhaul of Feature Distillation
ICCV 2019
Data-Free Learning of Student Networks
ICCV 2019
Efficient Video Classification Using Fewer Frames
CVPR 2019
Knowledge Distillation via Route Constrained Optimization
ICCV 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
AAAI 2019
LIT: Learned Intermediate Representation Training for Model Compression
ICML 2019
MEAL: Multi-Model Ensemble via Adversarial Learning
AAAI 2019
Probability Distillation: A Caveat and Alternatives
UAI 2019
Model compression via distillation and quantization
ICLR 2018
Moonshine: Distilling with Cheap Convolutions
NeurIPS 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer
NeurIPS 2018