Papers
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
ResNet and Model Fusion for Automatic Spoofing Detection
Zhuxin Chen, Zhifeng Xie, Weibin Zhang et al.
Resolution of Referential Ambiguity in Human-Robot Dialogue Using Dempster-Shafer Theoretic Pragmatics
Tom Williams, Matthias Scheutz
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
Responsible Autonomy
Virginia Dignum
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation
Yi Fan, Nan Li, Chengqian Li et al.
Restricted Chase (Non)Termination for Existential Rules with Disjunctions
David Carral, Irina Dragoste, Markus Krötzsch
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington, Samuel Schoenholz, Surya Ganguli
Retaining Data from Streams of Social Platforms with Minimal Regret
Nguyen Thanh Tam, Matthias Weidlich, Duong Chi Thang et al.
Reusing Neural Speech Representations for Auditory Emotion Recognition
Egor Lakomkin, Cornelius Weber, Sven Magg et al.
Revenue Optimization with Approximate Bid Predictions
Andres Munoz, Sergei Vassilvitskii
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier et al.
Revisiting Metric Learning for SPD Matrix Based Visual Representation
Luping Zhou, Lei Wang, Jianjia Zhang et al.
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan, Chicheng Zhang
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
John Wieting, Kevin Gimpel
Revisiting Selectional Preferences for Coreference Resolution
Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis
Yuichiroh Matsubayashi, Kentaro Inui
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
Je Hyeong Hong, Christopher Zach, Andrew Fitzgibbon