Papers
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
Daniel Watson, Nasser Zalmout, Nizar Habash
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs
Eun-kyung Kim, Kijong Han, Jiho Kim et al.
UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition
Jiankang Deng, Shiyang Cheng, Niannan Xue et al.
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network
Pavel Přibáň, Jiří Martínek
UZH@SMM4H: System Descriptions
Tilia Ellendorff, Joseph Cornelius, Heath Gordon et al.
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map
Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
VAE with a VampPrior
Jakub Tomczak, Max Welling
Valency-Augmented Dependency Parsing
Tianze Shi, Lillian Lee
Variable-Delay Controllability
Nikhil Bhargava, Christian Muise, Brian Williams
Variable Typing: Assigning Meaning to Variables in Mathematical Text
Yiannos Stathopoulos, Simon Baker, Marek Rei et al.
Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs
Mohammad Sadegh Talebi, Odalric-Ambrym Maillard
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip Gibbons et al.
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan et al.
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
Ximing Li, Changchun Li, Jinjin Chi et al.
Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan, Lili Mou, Olga Vechtomova et al.
Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan, Lin Gao, Yu-Kun Lai et al.
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study
Siddique Latif, Rajib Rana, Junaid Qadir et al.
Variational Autoregressive Decoder for Neural Response Generation
Jiachen Du, Wenjie Li, Yulan He et al.
Variational Bayesian dropout: pitfalls and fixes
Jiri Hron, Alex Matthews, Zoubin Ghahramani
Variational Bayesian Monte Carlo
Luigi Acerbi
Variational Continual Learning
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui et al.
Variational Fourier Features for Gaussian Processes
James Hensman, Nicolas Durrande, Arno Solin
Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh et al.