Papers
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory
Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song et al.
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Wojciech Marian Czarnecki, Grzegorz Świrszcz, Max Jaderberg et al.
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection
Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki
Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition
Tasha Nagamine, Nima Mesgarani
Understanding Traffic Density From Large-Scale Web Camera Data
Shanghang Zhang, Guanhang Wu, Joao P. Costeira et al.
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
Yunhui Guo, Congfu Xu, Hanzhang Song et al.
Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling
Dung T. Tran, Marc Delcroix, Shigeki Karita et al.
Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg, Bill Byrne
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh et al.
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders
Unified Representation and Lifted Sampling for Generative Models of Social Networks
Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays
Cesar F. Caiafa, Olaf Sporns, Andrew Saykin et al.
Uniform Convergence Rates for Kernel Density Estimation
Heinrich Jiang
Uniform Deviation Bounds for k-Means Clustering
Olivier Bachem, Mario Lucic, S. Hamed Hassani et al.
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction
Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi et al.
Unimodal Probability Distributions for Deep Ordinal Classification
Christopher Beckham, Christopher Pal
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
Kristofer Bouchard, Alejandro Bujan, Fred Roosta et al.
Unite the People: Closing the Loop Between 3D and 2D Human Representations
Christoph Lassner, Javier Romero, Martin Kiefel et al.
Unit Selection with Hierarchical Cascaded Long Short Term Memory Bidirectional Recurrent Neural Nets
Vincent Pollet, Enrico Zovato, Sufian Irhimeh et al.
Universal Adversarial Perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi et al.
Universal Adversarial Perturbations Against Semantic Image Segmentation
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox et al.