Papers
Random Shuffling Beats SGD after Finite Epochs
Jeff Haochen, Suvrit Sra
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
Robert Peharz, Antonio Vergari, Karl Stelzner et al.
Random Tessellation Forests
Shufei Ge, Shijia Wang, Yee Whye Teh et al.
Random Walk Decay Centrality
Tomasz Wąs, Talal Rahwan, Oskar Skibski
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra, Benjamin Raphael
RANet: Ranking Attention Network for Fast Video Object Segmentation
Ziqin Wang, Jun Xu, Li Liu et al.
Ranked List Loss for Deep Metric Learning
Xinshao Wang, Yang Hua, Elyor Kodirov et al.
Ranked Programming
Tjitze Rienstra
Ranking and Sampling in Open-Domain Question Answering
Yanfu Xu, Zheng Lin, Yuanxin Liu et al.
Ranking and Sampling in Open-Domain Question Answering
Yanfu Xu, Zheng Lin, Yuanxin Liu et al.
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
Debjit Paul, Anette Frank
Ranking-Based Autoencoder for Extreme Multi-label Classification
Bingyu Wang, Li Chen, Wei Sun et al.
Ranking-Based Deep Cross-Modal Hashing
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi et al.
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference
Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama et al.
Ranking of Potential Questions
Luise Schricker, Tatjana Scheffler
Ranking Passages for Argument Convincingness
Peter Potash, Adam Ferguson, Timothy J. Hazen
RankQA: Neural Question Answering with Answer Re-Ranking
Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution
Wenlong Zhang, Yihao Liu, Chao Dong et al.
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni et al.
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala, Andre Wibisono
Rapid Customization for Event Extraction
Yee Seng Chan, Joshua Fasching, Haoling Qiu et al.
Rapid Performance Gain through Active Model Reuse
Feng Shi, Yu-Feng Li
Rare Event Detection Using Disentangled Representation Learning
Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura
Rare Sound Event Detection Using Deep Learning and Data Augmentation
Yanping Chen, Hongxia Jin
Rate Distortion For Model Compression:From Theory To Practice
Weihao Gao, Yu-Han Liu, Chong Wang et al.