knowledge distillation

Knowledge Aided Consistency for Weakly Supervised Phrase Grounding CVPR 2018 Knowledge Distillation by On-the-Fly Native Ensemble NeurIPS 2018 Knowledge Distillation for Sequence Model Interspeech 2018 Knowledge Transfer with Jacobian Matching ICML 2018 Large scale distributed neural network training through online distillation ICLR 2018 Learning to Specialize with Knowledge Distillation for Visual Question Answering NeurIPS 2018 Learning to Teach ICLR 2018 Learning to Teach with Dynamic Loss Functions NeurIPS 2018 MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models NeurIPS 2018 Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018 Model compression via distillation and quantization ICLR 2018 Moonshine: Distilling with Cheap Convolutions NeurIPS 2018 NestedNet: Learning Nested Sparse Structures in Deep Neural Networks CVPR 2018 Non-Autoregressive Neural Machine Translation ICLR 2018 PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing CVPR 2018 Progress & Compress: A scalable framework for continual learning ICML 2018 Progressive Blockwise Knowledge Distillation for Neural Network Acceleration IJCAI 2018 Representation Learning on Graphs with Jumping Knowledge Networks ICML 2018 RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information EMNLP 2018 Revisiting the Importance of Encoding Logic Rules in Sentiment Classification EMNLP 2018 ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes CVPR 2018 StrassenNets: Deep Learning with a Multiplication Budget ICML 2018 Teaching Semi-Supervised Classifier via Generalized Distillation IJCAI 2018 Towards Effective Low-Bitwidth Convolutional Neural Networks CVPR 2018 XL-NBT: A Cross-lingual Neural Belief Tracking Framework EMNLP 2018