NIPS Proceedings
^{β}
Books
Sepp Hochreiter
10 Papers
RUDDER: Return Decomposition for Delayed Rewards
(2019)
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
(2017)
Self-Normalizing Neural Networks
(2017)
Rectified Factor Networks
(2015)
Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems
(2002)
Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers
(2002)
Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models
(2000)
Source Separation as a By-Product of Regularization
(1998)
LSTM can Solve Hard Long Time Lag Problems
(1996)
SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA
(1994)