knowledge distillation

Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval IJCAI 2017 A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning CVPR 2017 A Joint Sequential and Relational Model for Frame-Semantic Parsing EMNLP 2017 A Teacher-Student Framework for Zero-Resource Neural Machine Translation ACL 2017 Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NeurIPS 2017 Cross-lingual Distillation for Text Classification ACL 2017 Distilling Knowledge from an Ensemble of Models for Punctuation Prediction Interspeech 2017 Distral: Robust multitask reinforcement learning NeurIPS 2017 Efficient Knowledge Distillation from an Ensemble of Teachers Interspeech 2017 Ensembles of Multi-Scale VGG Acoustic Models Interspeech 2017 Expert Gate: Lifelong Learning With a Network of Experts CVPR 2017 Generalized Distillation Framework for Speaker Normalization Interspeech 2017 Generalizing GANs: A Turing Perspective NeurIPS 2017 How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval IJCAI 2017 Knowledge Distillation for Bilingual Dictionary Induction EMNLP 2017 Learning Efficient Object Detection Models with Knowledge Distillation NeurIPS 2017 Mimicking Very Efficient Network for Object Detection CVPR 2017 Modal Consistency based Pre-Trained Multi-Model Reuse IJCAI 2017 Sobolev Training for Neural Networks NeurIPS 2017 Student-Teacher Training with Diverse Decision Tree Ensembles Interspeech 2017 Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017 Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages Interspeech 2017 Unfolding and Shrinking Neural Machine Translation Ensembles EMNLP 2017 Conditional Generative Moment-Matching Networks NeurIPS 2016 Cross Modal Distillation for Supervision Transfer CVPR 2016