Papers
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Yangchen Pan, Amir-massoud Farahmand, Martha White et al.
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
Xi Wu, Uyeong Jang, Jiefeng Chen et al.
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation
Hainan Zhang, Yanyan Lan, Jiafeng Guo et al.
Relating Articulatory Motions in Different Speaking Rates
Astha Singh, G. Nisha Meenakshi, Prasanta Kumar Ghosh
Relating Leverage Scores and Density using Regularized Christoffel Functions
Edouard Pauwels, Francis Bach, Jean-Philippe Vert
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff et al.
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo et al.
Relational Summarization for Corpus Analysis
Abram Handler, Brendan O’Connor
Relation Induction in Word Embeddings Revisited
Zied Bouraoui, Shoaib Jameel, Steven Schockaert
Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang et al.
Relative Attribute Learning with Deep Attentive Cross-image Representation
Zeshang Zhang, Yingming Li, Zhongfei Zhang
RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion
Daniel Rakita, Bilge Mutlu, Michael Gleicher
Relevance in Structured Argumentation
AnneMarie Borg, Christian Straßer
Relevant Emotion Ranking from Text Constrained with Emotion Relationships
Deyu Zhou, Yang Yang, Yulan He
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
Julia Kreutzer, Joshua Uyheng, Stefan Riezler
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty
Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson et al.
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
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.
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