Papers
Regularized Weighted Low Rank Approximation
Frank Ban, David Woodruff, Richard Zhang
Regularizing Activation Distribution for Training Binarized Deep Networks
Ruizhou Ding, Ting-Wu Chin, Zeye Liu et al.
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters
Kaushal Paneri, Vishnu TV, Pankaj Malhotra et al.
Regularizing Model-Based Planning with Energy-Based Models
Rinu Boney, Juho Kannala, Alexander Ilin
Regularizing Neural Machine Translation by Target-Bidirectional Agreement
Zhirui Zhang, Shuangzhi Wu, Shujie Liu et al.
Regularizing Neural Networks via Stochastic Branch Layers
Wonpyo Park, Paul Hongsuck Seo, Bohyung Han et al.
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney, Norman Di Palo, Mathias Berglund et al.
Rehashing Kernel Evaluation in High Dimensions
Paris Siminelakis, Kexin Rong, Peter Bailis et al.
Re-ID Driven Localization Refinement for Person Search
Chuchu Han, Jiacheng Ye, Yunshan Zhong et al.
Re-Identification Supervised Texture Generation
Jian Wang, Yunshan Zhong, Yachun Li et al.
Re-Identification With Consistent Attentive Siamese Networks
Meng Zheng, Srikrishna Karanam, Ziyan Wu et al.
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz et al.
Reinforced Dynamic Reasoning for Conversational Question Generation
Boyuan Pan, Hao Li, Ziyu Yao et al.
Reinforced Negative Sampling for Recommendation with Exposure Data
Jingtao Ding, Yuhan Quan, Xiangnan He et al.
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews
Miao Fan, Chao Feng, Mingming Sun et al.
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews
Miao Fan, Chao Feng, Mingming Sun et al.
Reinforced Training Data Selection for Domain Adaptation
Miaofeng Liu, Yan Song, Hongbin Zou et al.
Reinforcement-based denoising of distantly supervised NER with partial annotation
Farhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
Gaurav Kumar, George Foster, Colin Cherry et al.
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
Hongyu Gong, Suma Bhat, Lingfei Wu et al.
Reinforcement Learning Experience Reuse with Policy Residual Representation
WenJi Zhou, Yang Yu, Yingfeng Chen et al.
Reinforcement Learning for Improved Low Resource Dialogue Generation
Ana V. González-Garduño
Reinforcement Learning in Configurable Continuous Environments
Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli
Reinforcement Learning under Threats
Victor Gallego, Roi Naveiro, David Rios Insua
Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi, Kianté Brantley, Hal Daume III et al.