Skip to content
conftrace_

student network

51 papers

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