Papers
Removing Phase Transitions from Gibbs Measures
Ian Fellows, Mark Handcock
Removing Rain From Single Images via a Deep Detail Network
Xueyang Fu, Jiabin Huang, Delu Zeng et al.
Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
Christian Naesseth, Francisco Ruiz, Scott Linderman et al.
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks
Hadi Amiri, Timothy Miller, Guergana Savova
Repeated Inverse Reinforcement Learning
Kareem Amin, Nan Jiang, Satinder Singh
Replay Attack Detection Using DNN for Channel Discrimination
Parav Nagarsheth, Elie Khoury, Kailash Patil et al.
Replication issues in syntax-based aspect extraction for opinion mining
Edison Marrese-Taylor, Yutaka Matsuo
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers, Iryna Gurevych
Representation Learning by Learning to Count
Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała, Lieke Gelderloos, Afra Alishahi
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media
Lizi Liao, Xiangnan He, Zhaochun Ren et al.
Representing Sentences as Low-Rank Subspaces
Jiaqi Mu, Suma Bhat, Pramod Viswanath
Re-Ranking Person Re-Identification With k-Reciprocal Encoding
Zhun Zhong, Liang Zheng, Donglin Cao et al.
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources
Laurent Jakubina, Phillippe Langlais
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method
Chenzi Zhang, Shuguang Hu, Zhihao Gavin Tang et al.
Rescale-Invariant SVM for Binary Classification
Mojtaba Montazery, Nic Wilson
Rescoring-Aware Beam Search for Reduced Search Errors in Contextual Automatic Speech Recognition
Ian Williams, Petar Aleksic
Residual Attention Network for Image Classification
Fei Wang, Mengqing Jiang, Chen Qian et al.
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks
Karel Beneš, Murali Karthick Baskar, Lukáš Burget
Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs
Oscar Koller, Sepehr Zargaran, Hermann Ney