Papers
Region-Based Active Learning
Corinna Cortes, Giulia DeSalvo, Claudio Gentile et al.
Region-Based Message Exploration over Spatio-Temporal Data Streams
Lisi Chen, Shuo Shang
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos
Haofei Xu, Jianmin Zheng, Jianfei Cai et al.
Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao, Yang Wang, Zheng Yang et al.
Region Proposal by Guided Anchoring
Jiaqi Wang, Kai Chen, Shuo Yang et al.
Region-specific Diffeomorphic Metric Mapping
Zhengyang Shen, Francois-Xavier Vialard, Marc Niethammer
Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks
Zhenyu Tang, John D. Kanu, Kevin Hogan et al.
Regression or classification? Automated Essay Scoring for Norwegian
Stig Johan Berggren, Taraka Rama, Lilja Øvrelid
Regression Planning Networks
Danfei Xu, Roberto Martín-Martín, De-An Huang et al.
Regret Bounds for Learning State Representations in Reinforcement Learning
Ronald Ortner, Matteo Pirotta, Alessandro Lazaric et al.
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Young Hun Jung, Ambuj Tewari
Regret Circuits: Composability of Regret Minimizers
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
Zihan Zhang, Xiangyang Ji
Regular Boardgames
Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz et al.
Regular Decision Processes: A Model for Non-Markovian Domains
Ronen I. Brafman, Giuseppe De Giacomo
RegularFace: Deep Face Recognition via Exclusive Regularization
Kai Zhao, Jingyi Xu, Ming-Ming Cheng
Regularization in directable environments with application to Tetris
Jan Malte Lichtenberg, Özgür Şimşek
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Colin Wei, Jason Lee, Qiang Liu et al.
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Hui Wu et al.
Regularized Contextual Bandits
Xavier Fontaine, Quentin Berthet, Vianney Perchet
Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang et al.
Regularized Gradient Boosting
Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
Regularized Learning for Domain Adaptation under Label Shifts
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang et al.