Papers
World of Bits: An Open-Domain Platform for Web-Based Agents
Tianlin Shi, Andrej Karpathy, Linxi Fan et al.
Zero-Inflated Exponential Family Embeddings
Li-Ping Liu, David M. Blei
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh, Satinder Singh, Honglak Lee et al.
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
Hantian Zhang, Jerry Li, Kaan Kara et al.
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs
Guillaume Gautier, Rémi Bardenet, Michal Valko
A Box-Constrained Approach for Hard Permutation Problems
Cong Han Lim, Steve Wright
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation
Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry et al.
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
Ian En-Hsu Yen, Xin Lin, Jiong Zhang et al.
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis, Hao Peng, Charles Sutton
Actively Learning Hemimetrics with Applications to Eliciting User Preferences
Adish Singla, Sebastian Tschiatschek, Andreas Krause
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
Rodolphe Jenatton, Jim Huang, Cedric Archambeau
Adaptive Sampling for SGD by Exploiting Side Information
Siddharth Gopal
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
Kirthevasan Kandasamy, Yaoliang Yu
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham, Xiuyuan Cheng, Omer Dror et al.
ADIOS: Architectures Deep In Output Space
Moustapha Cisse, Maruan Al-Shedivat, Samy Bengio
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
A Kernelized Stein Discrepancy for Goodness-of-fit Tests
Qiang Liu, Jason Lee, Michael Jordan
A Kernel Test of Goodness of Fit
Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger Grosse, James Martens
Algorithms for Optimizing the Ratio of Submodular Functions
Wenruo Bai, Rishabh Iyer, Kai Wei et al.
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix
Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana et al.
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng, Bangsheng Tang, Wenkui Ding et al.
A New PAC-Bayesian Perspective on Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette et al.