model compression

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 Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data COLING 2020 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 BiDet: An Efficient Binarized Object Detector CVPR 2020 Binarized Neural Architecture Search AAAI 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations ICLR 2020 Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation CVPR 2020 Born-Again Tree Ensembles ICML 2020 BRP-NAS: Prediction-based NAS using GCNs NeurIPS 2020 Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems Interspeech 2020 Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020 Calibrating CNNs for Lifelong Learning 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 Compact Speaker Embedding: lrx-Vector Interspeech 2020 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity Interspeech 2020 Compressing Neural Machine Translation Models with 4-bit Precision ACL 2020 Compressing Pre-trained Language Models by Matrix Decomposition AACL 2020 Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings EMNLP 2020 Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network ICLR 2020