Papers
Can Active Memory Replace Attention?
Łukasz Kaiser, Samy Bengio
Mixed vine copulas as joint models of spike counts and local field potentials
Arno Onken, Stefano Panzeri
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gómez et al.
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
Eugene Belilovsky, Gaël Varoquaux, Matthew B Blaschko
Neural Universal Discrete Denoiser
Taesup Moon, Seonwoo Min, Byunghan Lee et al.
Semiparametric Differential Graph Models
Pan Xu, Quanquan Gu
The Generalized Reparameterization Gradient
Francisco R Ruiz, Michalis Titsias RC AUEB, David Blei
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu, Saizheng Zhang, Ying Zhang et al.
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
Dehua Cheng, Richard Peng, Yan Liu et al.
Proximal Deep Structured Models
Shenlong Wang, Sanja Fidler, Raquel Urtasun
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
Arturo Deza, Miguel Eckstein
Agnostic Estimation for Misspecified Phase Retrieval Models
Matey Neykov, Zhaoran Wang, Han Liu
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi et al.
Ancestral Causal Inference
Sara Magliacane, Tom Claassen, Joris M. Mooij
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich
Lifelong Learning with Weighted Majority Votes
Anastasia Pentina, Ruth Urner
Learning and Forecasting Opinion Dynamics in Social Networks
Abir De, Isabel Valera, Niloy Ganguly et al.
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
Kameron D Harris, Stefan Mihalas, Eric Shea-Brown
Linear Contextual Bandits with Knapsacks
Shipra Agrawal, Nikhil Devanur
Deep Learning without Poor Local Minima
Kenji Kawaguchi
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Jacob Steinhardt, Percy Liang
The Forget-me-not Process
Kieran Milan, Joel Veness, James Kirkpatrick et al.
A Pseudo-Bayesian Algorithm for Robust PCA
Tae-Hyun Oh, Yasuyuki Matsushita, In Kweon et al.
DeepMath - Deep Sequence Models for Premise Selection
Geoffrey Irving, Christian Szegedy, Alexander A Alemi et al.
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov, Aizhan Ibraimova, Dmitry P Vetrov et al.