Deep Learning

Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018 Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers ICLR 2018 Retrieval-Based Neural Code Generation EMNLP 2018 Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization ACL 2018 RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition ACL 2018 Reusing Weights in Subword-Aware Neural Language Models NAACL 2018 Reversible Recurrent Neural Networks NeurIPS 2018 Revisiting (ε, γ, τ)-similarity learning for domain adaptation NeurIPS 2018 Revisiting Character-Based Neural Machine Translation with Capacity and Compression EMNLP 2018 Revisiting Deep Intrinsic Image Decompositions CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation CVPR 2018 Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NeurIPS 2018 Revisiting neural relation classification in clinical notes with external information EMNLP 2018 Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects CVPR 2018 Revisiting the Importance of Encoding Logic Rules in Sentiment Classification EMNLP 2018 Reviving and Improving Recurrent Back-Propagation ICML 2018 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018 Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR 2018 R-FCN-3000 at 30fps: Decoupling Detection and Classification CVPR 2018 RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs ACML 2018 RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning SemEval 2018 Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018 RNN Simulations of Grammaticality Judgments on Long-distance Dependencies COLING 2018 ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes CVPR 2018 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias NeurIPS 2018