Papers
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
Jinlan Fu, Pengfei Liu, Qi Zhang
Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract)
Qilin Jin, Parasara Sridhar Duggirala
Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect
Xinyang Jiang, Yifei Gong, Xiaowei Guo et al.
Rethinking the Bottom-Up Framework for Query-Based Video Localization
Long Chen, Chujie Lu, Siliang Tang et al.
Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
Hao Zhang, Han Xu, Yang Xiao et al.
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu, Jie Fu, Yidan Zhang et al.
Revisiting Bilinear Pooling: A Coding Perspective
Zhi Gao, Yuwei Wu, Xiaoxun Zhang et al.
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen, Le Wu, Richang Hong et al.
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Kekai Sheng, Weiming Dong, Menglei Chai et al.
Revisiting Online Quantum State Learning
Feidiao Yang, Jiaqing Jiang, Jialin Zhang et al.
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
Yuan Sun, Wei Wang, Michael Kirley et al.
Revisiting the Foundations of Abstract Argumentation – Semantics Based on Weak Admissibility and Weak Defense
Ringo Baumann, Gerhard Brewka, Markus Ulbricht
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Ling Zhang, Chengjiang Long, Xiaolong Zhang et al.
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework
Zhengyang Zhou, Yang Wang, Xike Xie et al.
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
Nan Jiang, Sheng Jin, Zhiyao Duan et al.
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Songtao He, Favyen Bastani, Satvat Jagwani et al.
RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization
Tianying Wang, Wei Qi Toh, Hao Zhang et al.
Robust Adversarial Objects against Deep Learning Models
Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho et al.
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
Ligong Han, Ruijiang Gao, Mun Kim et al.
Robust Data Programming with Precision-guided Labeling Functions
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
Robust Federated Learning via Collaborative Machine Teaching
Yufei Han, Xiangliang Zhang
Robust Gradient-Based Markov Subsampling
Tieliang Gong, Quanhan Xi, Chen Xu
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations
Jun Li, Gan Sun, Guoshuai Zhao et al.
Robust Market Equilibria with Uncertain Preferences
Riley Murray, Christian Kroer, Alex Peysakhovich et al.
Robust Multi-View Representation Learning (Student Abstract)
Sibi Venkatesan, James K. Miller, Artur Dubrawski