Industry
Distributed Stochastic Optimization via Adaptive SGD
Ashok Cutkosky, Róbert Busa-Fekete
Neural Information Processing Systems http://nips.cc/
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
Neural Information Processing Systems http://nips.cc/
Private Testing of Distributions via Sample Permutations
Maryam Aliakbarpour, Ilias Diakonikolas, Daniel Kane, Ronitt Rubinfeld
Neural Information Processing Systems http://nips.cc/
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies Supplementary material A Demand for biological RNNs with long time-scale dependencies
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization.
DetectingAbruptChangesinSequentialPairwise ComparisonData
In this paper we are concerned with localizing the change points in ahigh-dimensional BTL model with piecewiseconstantparameters.
