Papers
Unbounded cache model for online language modeling with open vocabulary
Edouard Grave, Moustapha M Cisse, Armand Joulin
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays
Cesar F. Caiafa, Olaf Sporns, Andrew Saykin et al.
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
Kristofer Bouchard, Alejandro Bujan, Fred Roosta et al.
Universal consistency and minimax rates for online Mondrian Forests
Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet
Universal Style Transfer via Feature Transforms
Yijun Li, Chen Fang, Jimei Yang et al.
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, Jan Kautz
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
Unsupervised Learning of Disentangled Representations from Video
Emily L Denton, vighnesh Birodkar
Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis, Hakan Bilen, Andrea Vedaldi
Unsupervised Sequence Classification using Sequential Output Statistics
Yu Liu, Jianshu Chen, Li Deng
Unsupervised Transformation Learning via Convex Relaxations
Tatsunori B Hashimoto, Percy Liang, John C. Duchi
Uprooting and Rerooting Higher-Order Graphical Models
Mark Rowland, Adrian Weller
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
Zhaohan Guo, Philip S. Thomas, Emma Brunskill
VAE Learning via Stein Variational Gradient Descent
Yuchen Pu, Zhe Gan, Ricardo Henao et al.
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
Value Prediction Network
Junhyuk Oh, Satinder Singh, Honglak Lee
Variable Importance Using Decision Trees
Jalil Kazemitabar, Arash Amini, Adam Bloniarz et al.
Variance-based Regularization with Convex Objectives
Hongseok Namkoong, John C. Duchi
Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng, Byron Boots
Variational Inference via $\chi$ Upper Bound Minimization
Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath et al.
Variational Laws of Visual Attention for Dynamic Scenes
Dario Zanca, Marco Gori
Variational Memory Addressing in Generative Models
Jörg Bornschein, Andriy Mnih, Daniel Zoran et al.
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal ALIAS PARTH GOYAL, Nan Rosemary Ke, Surya Ganguli et al.
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava, Lazar Valkov, Chris Russell et al.