parameter efficiency

Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization ICML 2019 Parameter-Efficient Transfer Learning for NLP ICML 2019 Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections IJCAI 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 Small and Practical BERT Models for Sequence Labeling EMNLP 2019 Super Sparse Convolutional Neural Networks AAAI 2019 Training CNNs with Selective Allocation of Channels ICML 2019 Analyzing Filters Toward Efficient ConvNet CVPR 2018 ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions CVPR 2018 Efficient Parametrization of Multi-Domain Deep Neural Networks CVPR 2018 Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks NeurIPS 2018 Kronecker Recurrent Units ICML 2018 Low-rank passthrough neural networks ACL 2018 Modular Networks: Learning to Decompose Neural Computation NeurIPS 2018 PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning CVPR 2018 Perturbative Neural Networks CVPR 2018 Pyramidal Recurrent Unit for Language Modeling EMNLP 2018 Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks IJCAI 2018 Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018 Smaller Text Classifiers with Discriminative Cluster Embeddings NAACL 2018 Synaptic Strength For Convolutional Neural Network NeurIPS 2018 Hash Embeddings for Efficient Word Representations NeurIPS 2017 Local Binary Convolutional Neural Networks CVPR 2017 Deep Gate Recurrent Neural Network ACML 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016