Papers
Reparameterizable Subset Sampling via Continuous Relaxations
Sang Michael Xie, Stefano Ermon
Reparameterizing Distributions on Lie Groups
Luca Falorsi, Pim de Haan, Tim R. Davidson et al.
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
Pengjie Ren, Zhumin Chen, Jing Li et al.
Replay Attack Detection with Complementary High-Resolution Information Using End-to-End DNN for the ASVspoof 2019 Challenge
Jee-weon Jung, Hye-jin Shim, Hee-Soo Heo et al.
Replica Conditional Sequential Monte Carlo
Alex Shestopaloff, Arnaud Doucet
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Sivan Harary et al.
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
Bastian Wandt, Bodo Rosenhahn
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari et al.
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari et al.
RepPoints: Point Set Representation for Object Detection
Ze Yang, Shaohui Liu, Han Hu et al.
Representation Degeneration Problem in Training Natural Language Generation Models
Jun Gao, Di He, Xu Tan et al.
Representation Flow for Action Recognition
AJ Piergiovanni, Michael S. Ryoo
Representation Learning and Dynamic Programming for Arc-Hybrid Parsing
Joseph Le Roux, Antoine Rozenknop, Mathieu Lacroix
Representation Learning-Assisted Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren et al.
Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Yao Zhu, Hongzhi Liu, Zhonghai Wu et al.
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Yao Zhu, Hongzhi Liu, Zhonghai Wu et al.
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities
Geewook Kim, Akifumi Okuno, Kazuki Fukui et al.
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
Aixiu An, Peng Qian, Ethan Wilcox et al.
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
Aixiu An, Peng Qian, Ethan Wilcox et al.
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
Representing and Learning Grammars in Answer Set Programming
Mark Law, Alessandra Russo, Elisa Bertino et al.
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
Joshua J. Michalenko, Ameesh Shah, Abhinav Verma et al.
Representing Movie Characters in Dialogues
Mahmoud Azab, Noriyuki Kojima, Jia Deng et al.
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Ben Bogin, Jonathan Berant, Matt Gardner