Papers
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
Chong Peng, Chenglizhao Chen, Zhao Kang et al.
Response Generation by Context-Aware Prototype Editing
Yu Wu, Furu Wei, Shaohan Huang et al.
Responsive and Self-Expressive Dialogue Generation
Kozo Chikai, Junya Takayama, Yuki Arase
Restarting Frank-Wolfe
Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta
Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations
Jerin Geo James, Pranay Agrawal, Ajit Rajwade
Restoring ancient text using deep learning: a case study on Greek epigraphy
Yannis Assael, Thea Sommerschield, Jonathan Prag
Restoring ancient text using deep learning: a case study on Greek epigraphy
Yannis Assael, Thea Sommerschield, Jonathan Prag
Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges
Qingsong Ma, Johnny Wei, Ondřej Bojar et al.
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi
Rethinking Attribute Representation and Injection for Sentiment Classification
Reinald Kim Amplayo
Rethinking Attribute Representation and Injection for Sentiment Classification
Reinald Kim Amplayo
Rethinking Complex Neural Network Architectures for Document Classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang et al.
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu, Shiyu Chang, Yang Zhang et al.
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu, Shiyu Chang, Yang Zhang et al.
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Lixin Fan, Kam Woh Ng, Chee Seng Chan
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Peilin Zhong, Yuchen Mo, Chang Xiao et al.
Rethinking ImageNet Pre-Training
Kaiming He, Ross Girshick, Piotr Dollar
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian, Long Zhao, Xi Peng et al.
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang et al.
Rethinking Loss Design for Large-scale 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau, Tomer Michaeli
Rethinking Phonotactic Complexity
Tiago Pimentel, Brian Roark, Ryan Cotterell
2019
ACL
Rethinking the CSC Model for Natural Images
Dror Simon, Michael Elad
Rethinking the Evaluation of Video Summaries
Mayu Otani, Yuta Nakashima, Esa Rahtu et al.