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Knowledge Distillation

790 directly classified papers

Papers per year

Papers

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks AAAI 2019
Iterative Dual Domain Adaptation for Neural Machine Translation EMNLP 2019
Multi-agent Learning for Neural Machine Translation EMNLP 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019
Private Model Compression via Knowledge Distillation AAAI 2019
Efficient Video Classification Using Fewer Frames CVPR 2019
Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition INTERSPEECH 2019
Progressive Teacher-Student Learning for Early Action Prediction CVPR 2019
Knowledge Distillation via Instance Relationship Graph CVPR 2019
Variational Information Distillation for Knowledge Transfer CVPR 2019
Knowledge Extraction with No Observable Data NIPS 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching NIPS 2019
Large Scale Incremental Learning CVPR 2019
MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019
Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019
Baidu Neural Machine Translation Systems for WMT19 ACL 2019
Probability Distillation: A Caveat and Alternatives UAI 2019
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning ACL 2019
Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019
Natural Language Generation for Effective Knowledge Distillation EMNLP 2019
When does label smoothing help? NIPS 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation CVPR 2019
Learning Without Memorizing CVPR 2019
Distilling Object Detectors With Fine-Grained Feature Imitation CVPR 2019