Papers
Removing Hidden Confounding by Experimental Grounding
Nathan Kallus, Aahlad Manas Puli, Uri Shalit
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang, Yining Zhang, Zongpeng Li
Rendering Portraitures from Monocular Camera and Beyond
Xiangyu Xu, Deqing Sun, Sifei Liu et al.
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Thu H Nguyen-Phuoc, Chuan Li, Stephen Balaban et al.
Repairing ASR output by Artificial Development and Ontology based Learning
C. Anantaram, Amit Sangroya, Mrinal Rawat et al.
Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee, Hangyeol Yu, Hongseok Yang
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott Linderman, Gonzalo Mena, Hal Cooper et al.
Repeatability Is Not Enough: Learning Affine Regions via Discriminability
Dmytro Mishkin, Filip Radenovic, Jiri Matas
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
Pankaj Gupta, Bernt Andrassy, Hinrich Schütze
Replicating Active Appearance Model by Generator Network
Tian Han, Jiawen Wu, Ying Nian Wu
Report of NEWS 2018 Named Entity Transliteration Shared Task
Nancy Chen, Rafael E. Banchs, Min Zhang et al.
Representation Balancing MDPs for Off-policy Policy Evaluation
Yao Liu, Omer Gottesman, Aniruddh Raghu et al.
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics
Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao et al.
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding
Hai Wan, Yonghao Luo, Bo Peng et al.
Representation Learning for Treatment Effect Estimation from Observational Data
Liuyi Yao, Sheng Li, Yaliang Li et al.
Representation Learning of Compositional Data
Marta Avalos, Richard Nock, Cheng Soon Ong et al.
Representation Learning of Entities and Documents from Knowledge Base Descriptions
Ikuya Yamada, Hiroyuki Shindo, Yoshiyasu Takefuji
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, Yonglong Tian et al.
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model
Steven Derby, Paul Miller, Brian Murphy et al.
Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew
Adam Amram, Anat Ben David, Reut Tsarfaty
Representations of Bayesian networks by low-rank models
Petr Tichavský, Jiří Vomlel
Representation Tradeoffs for Hyperbolic Embeddings
Frederic Sala, Chris De Sa, Albert Gu et al.
Representer Point Selection for Explaining Deep Neural Networks
Chih-Kuan Yeh, Joon Kim, Ian En-Hsu Yen et al.
Representing Social Media Users for Sarcasm Detection
Y. Alex Kolchinski, Christopher Potts