Knowledge Distillation

Efficient Video Classification Using Fewer Frames CVPR 2019 Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019 Geometry-Aware Distillation for Indoor Semantic Segmentation CVPR 2019 Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training CVPR 2019 Iterative Dual Domain Adaptation for Neural Machine Translation EMNLP 2019 Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019 Knowledge Distillation via Instance Relationship Graph CVPR 2019 Knowledge Extraction with No Observable Data NeurIPS 2019 Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 Large Scale Incremental Learning CVPR 2019 Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019 Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks AAAI 2019 Learning Without Memorizing CVPR 2019 Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition CVPR 2019 MBS: Macroblock Scaling for CNN Model Reduction CVPR 2019 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 Multi-agent Learning for Neural Machine Translation EMNLP 2019 Multilingual Neural Machine Translation with Knowledge Distillation ICLR 2019 Natural Language Generation for Effective Knowledge Distillation EMNLP 2019 Network Recasting: A Universal Method for Network Architecture Transformation AAAI 2019 Optimal Completion Distillation for Sequence Learning ICLR 2019 PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation ACL 2019 Private Model Compression via Knowledge Distillation AAAI 2019 Probability Distillation: A Caveat and Alternatives UAI 2019 Progressive Teacher-Student Learning for Early Action Prediction CVPR 2019