parameter reduction

MBS: Macroblock Scaling for CNN Model Reduction CVPR 2019 Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data AAAI 2019 Play and Prune: Adaptive Filter Pruning for Deep Model Compression IJCAI 2019 Quaternion Recurrent Neural Networks ICLR 2019 Super Sparse Convolutional Neural Networks AAAI 2019 The Lower The Simpler: Simplifying Hierarchical Recurrent Models NAACL 2019 Towards a Theoretical Understanding of Hashing-Based Neural Nets AISTATS 2019 ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions NeurIPS 2018 ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions CVPR 2018 Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference EMNLP 2018 Compressing End-to-end ASR Networks by Tensor-Train Decomposition Interspeech 2018 Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics IJCAI 2018 DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018 Efficient Sequence Learning with Group Recurrent Networks NAACL 2018 Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition CVPR 2018 Learning Strict Identity Mappings in Deep Residual Networks CVPR 2018 Learning Structure and Strength of CNN Filters for Small Sample Size Training CVPR 2018 Network Approximation using Tensor Sketching IJCAI 2018 Neural Tensor Networks with Diagonal Slice Matrices NAACL 2018 Pyramidal Recurrent Unit for Language Modeling EMNLP 2018 Reusing Weights in Subword-Aware Neural Language Models NAACL 2018 Spatially-Adaptive Filter Units for Deep Neural Networks CVPR 2018 Wide Compression: Tensor Ring Nets CVPR 2018 Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017 ECO: Efficient Convolution Operators for Tracking CVPR 2017