Model Compression

Knowledge Graph Embedding Compression ACL 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Learning Sparse Neural Networks for Better Generalization IJCAI 2020 Learning Student Networks with Few Data AAAI 2020 Leveraging Filter Correlations for Deep Model Compression WACV 2020 Light Multi-Segment Activation for Model Compression AAAI 2020 Linear Context Transform Block AAAI 2020 Load What You Need: Smaller Versions of Mutililingual BERT EMNLP 2020 Local Binary Pattern Networks WACV 2020 Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation EMNLP 2020 Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020 MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NeurIPS 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020 MoBiNet: A Mobile Binary Network for Image Classification WACV 2020 Model Watermarking for Image Processing Networks AAAI 2020 Monolingual Adapters for Zero-Shot Neural Machine Translation EMNLP 2020 Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation ICML 2020 Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020 Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio CVPR 2020 Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020 Neural Inheritance Relation Guided One-Shot Layer Assignment Search AAAI 2020 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020