Papers
Reward Learning From Narrated Demonstrations
Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang et al.
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks
Swapna Buccapatnam, Fang Liu, Atilla Eryilmaz et al.
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
Qingchao Chen, Yang Liu, Zhaowen Wang et al.
R-FCN-3000 at 30fps: Decoupling Detection and Classification
Bharat Singh, Hengduo Li, Abhishek Sharma et al.
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Mathieu Fehr, Olivier Buffet, Vincent Thomas et al.
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging
Andrew Matteson, Chanhee Lee, Youngbum Kim et al.
RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning
Venkatesh Elango, Karan Uppal
RIDI: Robust IMU Double Integration
Hang Yan, Qi Shan, Yasutaka Furukawa
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Riemannian Stochastic Recursive Gradient Algorithm
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan et al.
Ring Loss: Convex Feature Normalization for Face Recognition
Yutong Zheng, Dipan K. Pal, Marios Savvides
Risk-Aware Active Inverse Reinforcement Learning
Daniel S. Brown, Yuchen Cui, Scott Niekum
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson et al.
RiskFinder: A Sentence-level Risk Detector for Financial Reports
Yu-Wen Liu, Liang-Chih Liu, Chuan-Ju Wang et al.
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification
Niloofar Safi Samghabadi, Deepthi Mave, Sudipta Kar et al.
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang, Richard Liaw, Robert Nishihara et al.
RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem
Aysu Ezen-Can, Ethem F. Can
RNN Simulations of Grammaticality Judgments on Long-distance Dependencies
Shammur Absar Chowdhury, Roberto Zamparelli
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen, Wen Li, Luc Van Gool
RoadTracer: Automatic Extraction of Road Networks From Aerial Images
Favyen Bastani, Songtao He, Sofiane Abbar et al.
RobinHood: Tail Latency Aware Caching -- Dynamic Reallocation from Cache-Rich to Cache-Poor
Daniel S. Berger, Benjamin Berg, Timothy Zhu et al.
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Prakashchand Gandhi et al.