Model Compression

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 Binarized Neural Architecture Search AAAI 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems Interspeech 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 Transformer-Based Semantic Parsing Models using Compositional Code Embeddings EMNLP 2020 Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NeurIPS 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 Deep Implicit Volume Compression CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020 DFQF: Data Free Quantization-aware Fine-tuning ACML 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation EMNLP 2020 Distilling Neural Networks for Greener and Faster Dependency Parsing ACL 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020