Model Compression

Bayesian Sparsification of Deep C-valued Networks ICML 2020 Belief Propagation Neural Networks NeurIPS 2020 BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020 BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 BiDet: An Efficient Binarized Object Detector CVPR 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget ICLR 2020 BRP-NAS: Prediction-based NAS using GCNs NeurIPS 2020 CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020 Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020 Channel Pruning via Automatic Structure Search IJCAI 2020 Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020 Comparing Rewinding and Fine-tuning in Neural Network Pruning ICLR 2020 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity Interspeech 2020 Data-Independent Neural Pruning via Coresets ICLR 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 DFQF: Data Free Quantization-aware Fine-tuning ACML 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Do OS abstractions make sense on FPGAs? OSDI 2020 DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020 Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—Choose Three EMNLP 2020 Extreme Model Compression for On-device Natural Language Understanding COLING 2020 FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020