teacher-student learning

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 Distilling Knowledge From a Deep Pose Regressor Network ICCV 2019 Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 Learning by Cheating CoRL 2019 Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition CVPR 2019 Patient Knowledge Distillation for BERT Model Compression EMNLP 2019 Progressive Teacher-Student Learning for Early Action Prediction CVPR 2019 Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student Learning Interspeech 2019 Variational Graph Embedding and Clustering with Laplacian Eigenmaps IJCAI 2019 Improved Training for Online End-to-end Speech Recognition Systems Interspeech 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks NeurIPS 2018 Learning to Teach ICLR 2018 Large-Scale Domain Adaptation via Teacher-Student Learning Interspeech 2017 NITE: A Neural Inductive Teaching Framework for Domain Specific NER EMNLP 2017 Robust Speech Recognition Using Generalized Distillation Framework Interspeech 2016 Learning from Weak Teachers AISTATS 2012