Techniques

Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization CVPR 2019 Recurrent Registration Neural Networks for Deformable Image Registration NeurIPS 2019 Recursive Visual Attention in Visual Dialog CVPR 2019 Recycling a Pre-trained BERT Encoder for Neural Machine Translation EMNLP 2019 Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters AAAI 2019 Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism EMNLP 2019 Relation Parsing Neural Network for Human-Object Interaction Detection ICCV 2019 Relaxed Quantization for Discretized Neural Networks ICLR 2019 Reliability-aware Dynamic Feature Composition for Name Tagging ACL 2019 ResNet and Batch-normalization Improve Data Separability ACML 2019 Rethinking Attribute Representation and Injection for Sentiment Classification EMNLP 2019 Rethinking Complex Neural Network Architectures for Document Classification NAACL 2019 Rethinking the Value of Network Pruning ICLR 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019 Revisiting Self-Supervised Visual Representation Learning CVPR 2019 Riemannian batch normalization for SPD neural networks NeurIPS 2019 Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping CoRL 2019 Robust Attribution Regularization NeurIPS 2019 Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP 2019 Root Mean Square Layer Normalization NeurIPS 2019 RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks ICLR 2019 RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation EMNLP 2019 R-Vectors: New Technique for Adaptation to Room Acoustics Interspeech 2019 Saccader: Improving Accuracy of Hard Attention Models for Vision NeurIPS 2019 Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019