Model Compression

T-Basis: a Compact Representation for Neural Networks ICML 2020 Tensorized Embedding Layers EMNLP 2020 TernaryBERT: Distillation-aware Ultra-low Bit BERT EMNLP 2020 TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing ACL 2020 The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020 TinyBERT: Distilling BERT for Natural Language Understanding EMNLP 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Efficient Model Compression via Learned Global Ranking CVPR 2020 Towards Oracle Knowledge Distillation with Neural Architecture Search AAAI 2020 Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020 Training Decision Trees as Replacement for Convolution Layers AAAI 2020 Universal Source-Free Domain Adaptation CVPR 2020 Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020 ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection WACV 2020 VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition Interspeech 2020 ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020 Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019 All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019 A Mobile Application for Sound Event Detection IJCAI 2019 Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019 Balanced Sparsity for Efficient DNN Inference on GPU AAAI 2019 Binary Speech Features for Keyword Spotting Tasks Interspeech 2019 C3AE: Exploring the Limits of Compact Model for Age Estimation CVPR 2019 Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019