Model Compression

DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020 Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! EMNLP 2020 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion CVPR 2020 DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020 Dual Super-Resolution Learning for Semantic Segmentation CVPR 2020 Dynamic Convolution: Attention Over Convolution Kernels CVPR 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020 Early Exiting BERT for Efficient Document Ranking EMNLP 2020 ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020 Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL 2020 Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020 Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020 Efficient EUD Parsing ACL 2020 Efficient Inference For Neural Machine Translation EMNLP 2020 Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020 End to End Binarized Neural Networks for Text Classification EMNLP 2020 Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020 Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020 Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation EMNLP 2020 FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020 FastFormers: Highly Efficient Transformer Models for Natural Language Understanding EMNLP 2020 Fast Sparse ConvNets CVPR 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Filter Grafting for Deep Neural Networks CVPR 2020