Model Compression

Regularizing Activation Distribution for Training Binarized Deep Networks CVPR 2019 RePr: Improved Training of Convolutional Filters CVPR 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019 Similarity Preserving Deep Asymmetric Quantization for Image Retrieval AAAI 2019 Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation CVPR 2019 Small and Practical BERT Models for Sequence Labeling EMNLP 2019 SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NeurIPS 2019 Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019 Structured Knowledge Distillation for Semantic Segmentation CVPR 2019 Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019 Super Sparse Convolutional Neural Networks AAAI 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Adaptive Quantization of Neural Networks ICLR 2018 Analyzing Filters Toward Efficient ConvNet CVPR 2018 Approximation Algorithms for Cascading Prediction Models ICML 2018 BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018 ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions CVPR 2018 CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization CVPR 2018 Compact Personalized Models for Neural Machine Translation EMNLP 2018 Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference EMNLP 2018 Compressing Neural Networks using the Variational Information Bottleneck ICML 2018 Compressing Word Embeddings via Deep Compositional Code Learning ICLR 2018