Model Compression

Rescore in a Flash: Compact, Cache Efficient Hashing Data Structures for n-Gram Language Models Interspeech 2020 Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NeurIPS 2020 Resolution Adaptive Networks for Efficient Inference CVPR 2020 Resource-Adaptive Deep Learning for Visual Speech Recognition Interspeech 2020 Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets CVPR 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Robust Quantization: One Model to Rule Them All NeurIPS 2020 Rotated Binary Neural Network NeurIPS 2020 Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020 RTN: Reparameterized Ternary Network AAAI 2020 Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding AAAI 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NeurIPS 2020 Search to Distill: Pearls Are Everywhere but Not the Eyes CVPR 2020 Soft Threshold Ternary Networks IJCAI 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Sparse Weight Activation Training NeurIPS 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020 SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020 Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020 Structured Multi-Hashing for Model Compression CVPR 2020 Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020 T-Basis: a Compact Representation for Neural Networks ICML 2020 TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020 Tensorized Embedding Layers EMNLP 2020