Model Compression

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 LibKGE - A knowledge graph embedding library for reproducible research EMNLP 2020 Light Multi-Segment Activation for Model Compression AAAI 2020 Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020 Lightweight Text Classifier using Sinusoidal Positional Encoding AACL 2020 Load What You Need: Smaller Versions of Mutililingual BERT EMNLP 2020 Local Binary Pattern Networks WACV 2020 Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020 MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition Interspeech 2020 MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020 Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP EMNLP 2020 Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020 MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices ACL 2020 Model Watermarking for Image Processing Networks AAAI 2020 Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation ICML 2020 Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020 Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020 Neural Inheritance Relation Guided One-Shot Layer Assignment Search AAAI 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 Online Knowledge Distillation via Collaborative Learning CVPR 2020 On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020 On the Sparsity of Neural Machine Translation Models EMNLP 2020 Operation-Aware Soft Channel Pruning using Differentiable Masks ICML 2020