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Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students AAAI 2019
Amalgamating Knowledge towards Comprehensive Classification AAAI 2019
Microsoft Research Asia’s Systems for WMT19 ACL 2019
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation ACL 2019
Flambé: A Customizable Framework for Machine Learning Experiments ACL 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation ACL 2019
Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation INTERSPEECH 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing ACL 2019
Unifying Heterogeneous Classifiers With Distillation CVPR 2019
Unified Semantic Parsing with Weak Supervision ACL 2019
Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition INTERSPEECH 2019
Compression of Acoustic Event Detection Models with Quantized Distillation INTERSPEECH 2019
LIT: Learned Intermediate Representation Training for Model Compression ICML 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019
Large Scale Incremental Learning CVPR 2019
Efficient Video Classification Using Fewer Frames CVPR 2019
Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model IJCNLP 2019
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion INTERSPEECH 2019
Patient Knowledge Distillation for BERT Model Compression EMNLP 2019
Towards Understanding Knowledge Distillation ICML 2019
Distilling Policy Distillation AISTATS 2019
Zero-Shot Knowledge Distillation in Deep Networks ICML 2019
Iterative Dual Domain Adaptation for Neural Machine Translation EMNLP 2019
A Mobile Application for Sound Event Detection IJCAI 2019