Safe Crossover of Neural Networks Through Neuron Alignment

23 March 2020

Papers citing "Safe Crossover of Neural Networks Through Neuron Alignment"

19 / 19 papers shown

Title
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 41 275 0 11 Feb 2019
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 36 440 0 14 Jun 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 238 244 0 14 Jun 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 35 315 0 19 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 80 1,643 0 14 Mar 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 44 746 0 27 Feb 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 56 688 0 18 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 31 93 0 18 Dec 2017
A Tutorial on Canonical Correlation Methods Viivi Uurtio J. Monteiro J. Kandola John Shawe-Taylor D. Fernández-Reyes Juho Rousu CML 25 105 0 07 Nov 2017
Policy Optimization by Genetic Distillation Tanmay Gangwani Jian-wei Peng 29 18 0 03 Nov 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 47 890 0 30 Jun 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 54 1,523 0 10 Mar 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 138 8,805 0 04 Feb 2016
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 69 358 0 24 Nov 2015
Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging Natalia Y. Bilenko J. Gallant 44 82 0 05 Mar 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 208 6,722 0 19 Feb 2015
Qualitatively characterizing neural network optimization problems Ian Goodfellow Oriol Vinyals Andrew M. Saxe ODL 63 519 0 19 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 213 1,189 0 30 Nov 2014
Natural Evolution Strategies Daan Wierstra Tom Schaul Tobias Glasmachers Yi Sun Jürgen Schmidhuber 51 34 0 22 Jun 2011