Papers
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Hang Xu, Linpu Fang, Xiaodan Liang et al.
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
Li Zhang, Xin Li, Sen Chen et al.
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
Satoshi Kosugi, Toshihiko Yamasaki
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park, Donghyun Kim, Jiawei Han et al.
Unsupervised Deep Learning via Affinity Diffusion
Jiabo Huang, Qi Dong, Shaogang Gong et al.
Unsupervised Detection of Sub-Events in Large Scale Disasters
Chidubem Arachie, Manas Gaur, Sam Anzaroot et al.
Unsupervised Domain Adaptation on Reading Comprehension
Yu Cao, Meng Fang, Baosheng Yu et al.
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
You-Wei Luo, Chuan-Xian Ren, Pengfei Ge et al.
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Qian Wang, Toby Breckon
Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer
Channy Hong, Jaeyeon Lee, Jungkwon Lee
Unsupervised Metric Learning with Synthetic Examples
Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
Yu Wan, Baosong Yang, Derek F. Wong et al.
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks
Qiang Huang, Tingyu Xia, Huiyan Sun et al.
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
Zhecheng Wang, Haoyuan Li, Ram Rajagopal
URNet: User-Resizable Residual Networks with Conditional Gating Module
Sangho Lee, Simyung Chang, Nojun Kwak
Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources
Arthur Godet, Xavier Lorca, Emmanuel Hebrard et al.
Using Chinese Glyphs for Named Entity Recognition (Student Abstract)
Chan Hee Song, Arijit Sehanobish
Using Small Business Banking Data for Explainable Credit Risk Scoring
Wei Wang, Christopher Lesner, Alexander Ran et al.
Variational Adversarial Kernel Learned Imitation Learning
Fan Yang, Alina Vereshchaka, Yufan Zhou et al.
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu
Variational Metric Scaling for Metric-Based Meta-Learning
Jiaxin Chen, Li-ming Zhan, Xiao-Ming Wu et al.
Variational Pathway Reasoning for EEG Emotion Recognition
Tong Zhang, Zhen Cui, Chunyan Xu et al.
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis
Yotam Gafni, Ron Lavi, Moshe Tennenholtz
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract)
Liangzhu Ge, Yuexian Hou, Yaju Jiang et al.
Vector Quantization-Based Regularization for Autoencoders
Hanwei Wu, Markus Flierl