model compression

CompRess: Self-Supervised Learning by Compressing Representations NeurIPS 2020 Contrastive Representation Distillation ICLR 2020 CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020 D3D: Distilled 3D Networks for Video Action Recognition WACV 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 Data-Independent Neural Pruning via Coresets ICLR 2020 DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ACL 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020 DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020 DeltaGrad: Rapid retraining of machine learning models ICML 2020 Densely Connected Search Space for More Flexible Neural Architecture Search CVPR 2020 Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-Footprint Keyword Spotting Interspeech 2020 DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths ICML 2020 DFQF: Data Free Quantization-aware Fine-tuning ACML 2020 Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020 DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling EMNLP 2020 Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation ACL 2020 Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract) AAAI 2020 Distilling Cross-Task Knowledge via Relationship Matching CVPR 2020 Distilling Knowledge From Graph Convolutional Networks CVPR 2020