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Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019
Geometry-Aware Distillation for Indoor Semantic Segmentation CVPR 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation CVPR 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More CVPR 2019
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation EMNLP 2019
Distilling Object Detectors With Fine-Grained Feature Imitation CVPR 2019
Parameter-Efficient Transfer Learning for NLP ICML 2019
Compacting, Picking and Growing for Unforgetting Continual Learning NIPS 2019
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models NIPS 2019
Structured Knowledge Distillation for Semantic Segmentation CVPR 2019
Natural Language Generation for Effective Knowledge Distillation EMNLP 2019
Distilled Person Re-Identification: Towards a More Scalable System CVPR 2019
Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems NAACL 2019
Knowledge Distillation via Route Constrained Optimization ICCV 2019
Similarity-Preserving Knowledge Distillation ICCV 2019
On Knowledge distillation from complex networks for response prediction NAACL 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding ACL 2019
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells CVPR 2019
GTCOM Neural Machine Translation Systems for WMT19 ACL 2019
The NiuTrans Machine Translation Systems for WMT19 ACL 2019
Relational Knowledge Distillation CVPR 2019
Acoustic Scene Classification Using Teacher-Student Learning with Soft-Labels INTERSPEECH 2019
Joint Student-Teacher Learning for Audio-Visual Scene-Aware Dialog INTERSPEECH 2019
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary AAAI 2019