Papers
Visual Question Answering with Question Representation Update (QRU)
Ruiyu Li, Jiaya Jia
Wasserstein Training of Restricted Boltzmann Machines
Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans, Diederik P. Kingma
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si et al.
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale
Firas Abuzaid, Joseph K. Bradley, Feynman T Liang et al.
3D Object Proposals for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu et al.
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making
Koosha Khalvati, Rajesh P. Rao
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen, Peter L Bartlett
Accelerated Proximal Gradient Methods for Nonconvex Programming
Huan Li, Zhouchen Lin
A class of network models recoverable by spectral clustering
Yali Wan, Marina Meila
A Complete Recipe for Stochastic Gradient MCMC
Yi-An Ma, Tianqi Chen, Emily B. Fox
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee et al.
Active Learning from Weak and Strong Labelers
Chicheng Zhang, Kamalika Chaudhuri
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, Keith Forsythe
Adaptive Online Learning
Dylan J Foster, Alexander Rakhlin, Karthik Sridharan
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
Tom Goldstein, Min Li, Xiaoming Yuan
Adaptive Stochastic Optimization: From Sets to Paths
Zhan Wei Lim, David Hsu, Wee Sun Lee
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin
Adversarial Prediction Games for Multivariate Losses
Hong Wang, Wei Xing, Kaiser Asif et al.
A fast, universal algorithm to learn parametric nonlinear embeddings
Miguel A. Carreira-Perpinan, Max Vladymyrov
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
Peter Schulam, Suchi Saria
A Gaussian Process Model of Quasar Spectral Energy Distributions
Andrew Miller, Albert Wu, Jeff Regier et al.
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
Tasuku Soma, Yuichi Yoshida