Model Architecture

Practical Block-Wise Neural Network Architecture Generation CVPR 2018 Predict and Constrain: Modeling Cardinality in Deep Structured Prediction ICML 2018 Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU MLHC 2018 PU-Net: Point Cloud Upsampling Network CVPR 2018 Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018 Recurrently Controlled Recurrent Networks NeurIPS 2018 Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation Interspeech 2018 Referring Image Segmentation via Recurrent Refinement Networks CVPR 2018 Refine or Represent: Residual Networks with Explicit Channel-wise Configuration IJCAI 2018 ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks ACML 2018 Residual Connections Encourage Iterative Inference ICLR 2018 Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality ACL 2018 Reusing Weights in Subword-Aware Neural Language Models NAACL 2018 Robust Multilingual Part-of-Speech Tagging via Adversarial Training NAACL 2018 Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning ICLR 2018 Ruminating Reader: Reasoning with Gated Multi-hop Attention ACL 2018 Scalable methods for 8-bit training of neural networks NeurIPS 2018 Scaling Neural Machine Translation EMNLP 2018 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction NeurIPS 2018 Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers EMNLP 2018 Self-Attentive Residual Decoder for Neural Machine Translation NAACL 2018 Self-Governing Neural Networks for On-Device Short Text Classification EMNLP 2018 Shampoo: Preconditioned Stochastic Tensor Optimization ICML 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